| Catch-Bond Mechanism of Force-Enhanced Adhesion: Counterintuitive, Elusive, but … Widespread? Cell Host & Microbe, Volume 4, Issue 4, 16 October 2008, Pages 314-323 Evgeni V. Sokurenko, Viola Vogel and Wendy E. Thomas Summary Catch bonds are bonds between a ligand and its receptor that are enhanced by mechanical force pulling the ligand-receptor complex apart. To date, catch-bond formation has been documented for the most common adhesin, FimH, and for P-/L-selectins, universally expressed by leukocytes, platelets, and blood vessel walls. One compelling explanation for catch bonds is that force-induced structural alterations in the receptor protein are allosterically linked to a high-affinity conformation of its ligand-binding pocket. Catch-bond properties are likely to be widespread among adhesive proteins, thus calling for a detailed understanding of their underlying mechanisms and physiological significance. Summary | Full Text | PDF (505 kb) |
| Unfolding and Extraction of a Transmembrane α-Helical Peptide: Dynamic Force Spectroscopy and Molecular Dynamics Simulations Biophysical Journal, Volume 89, Issue 5, 1 November 2005, Pages 3129-3140 Sonia Antoranz Contera, Vincent Lemaître, Maurits R.R. de Planque, Anthony Watts and John F. Ryan Abstract An atomic force microscope (AFM) was used to visualize CWALP23 peptides (HN-ACAGAWWLALALALALALALWWA-COO) inserted in gel-phase DPPC and DSPC bilayers. The peptides assemble in stable linear structures and domains. A model for the organization of the peptides is given from AFM images and a 20ns molecular dynamics (MD) simulation. Gold-coated AFM cantilevers were used to extract single peptides from the bilayer through covalent bonding to the cystein residue. Experimental and simulated force curves show two distinct force maxima. In the simulations these two maxima correspond to the extraction of the two pairs of tryptophan residues from the membrane. Unfolding of the peptide precedes extraction of the second distal set of tryptophans. To probe the energies involved, AFM force curves were obtained from 10 to 10nm/s and MD force curves were simulated with 10–10nm/s pulling velocities (). The velocity relationship with the force, , was fitted to two fluctuation adhesive potential models. The first assumes the pulling produces a constant bias in the potential and predicts an ∼ln () relationship. The second takes into account the ramped bias that the linker feels as it is being driven out of the adhesion complex and scales as ∼(ln ). Abstract | Full Text | PDF (610 kb) |
| Enhancement of L-Selectin, but Not P-Selectin, Bond Formation Frequency by Convective Flow Biophysical Journal, Volume 94, Issue 3, 1 February 2008, Pages 1034-1045 Christopher D. Paschall, William H. Guilford and Michael B. Lawrence Abstract L-selectin-mediated leukocyte rolling has been proposed to require a high rate of bond formation compared to that of P-selectin to compensate for its much higher off-rate. To test this hypothesis, a microbead system was utilized to measure relative L-selectin and P-selectin bond formation rates on their common ligand P-selectin glycoprotein ligand-1 (PSGL-1) under shear flow. Using video microscopy, we tracked selectin-coated microbeads to detect the formation frequency of adhesive tether bonds. From velocity distributions of noninteracting and interacting microbeads, we observed that tether bond formation rates for P-selectin on PSGL-1 decreased with increasing wall shear stress, from 0.14±0.04 bonds/m at 0.2 dyn/cm to 0.014±0.003 bonds/m at 1.0 dyn/cm. In contrast, L-selectin tether bond formation increased from 0.017±0.005 bonds/m at 0.2 dyn/cm to 0.031±0.005 bonds/m at 1.0 dyn/cm. L-selectin tether bond formation rates appeared to be enhanced by convective transport, whereas P-selectin rates were inhibited. The transition force for the L-selectin catch-slip transition of 44 pN/bond agreed well with theoretical models (Pereverzev et al. 2005. . 89:1446-1454). Despite catch bond behavior, hydrodymanic shear thresholding was not detected with L-selectin beads rolling on PSGL-1. We speculate that shear flow generated compressive forces may enhance L-selectin bond formation relative to that of P-selectin and that L-selectin bonds with PSGL-1 may be tuned for the compressive forces characteristic of leukocyte-leukocyte collisions during secondary capture on the blood vessel wall. This is the first report, to our knowledge, comparing L-selectin and P-selectin bond formation frequencies in shear flow. Abstract | Full Text | PDF (349 kb) |
Copyright © 2007 The Biophysical Society. All rights reserved.
Biophysical Journal, Volume 92, Issue 5, 1471-1485, 1 March 2007
doi:10.1529/biophysj.106.097048
Biophysical Theory and Modeling
Jizhong Lou* and Cheng Zhu*, †, ‡,
, 
* Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, Georgia
† Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, Georgia
‡ Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, Georgia
Address reprint requests to Cheng Zhu.Complex formation between macromolecules (e.g., proteins and carbohydrates) involves many noncovalent interactions, including electrostatic interactions, van der Waals forces, hydrogen (H) bonds, and dipole-dipole interactions. Although each of these can be well described by established theories in physical chemistry, as implemented in the force fields for molecular dynamics (MD) simulations, predicting the collective properties of many such interactions distributed over a binding interface of complex geometry represents a major challenge no less than that of predicting protein folding. Usually these interactions work cooperatively, as suggested by the observation that binding and unbinding between macromolecules usually proceed as rapid state transitions, which can be described by a kinetics framework originally developed for chemical reactions. George Bell recognized this by modeling specific receptor-ligand binding that mediates cell-cell adhesion with this kinetics framework 1. Thus researchers in the field refer to a macromolecular complex as a “bond” and characterize the respective association and dissociation of receptor-ligand bonds using a pair of on-rate and off-rate constants, or simply their ratio—the binding affinity—to describe the overall binding propensity, which omits the details of the atomic-level interactions and their changes during the process of rapid transitions. Bell recognized one more complication, however. A cell is usually subjected to mechanical forces applied to it from the environment or exerted by it to the environment. These forces are transmitted from one cell to another or from a cell to the extracellular matrix via adhesion bonds, which regulate their binding kinetics. Bell proposed the first model for force dependence of off-rate, which is an exponentially increasing function of force (see Eq. (1) below) 1. This model is intuitive and has been widely supported by experiments.
Dembo et al. proposed several alternative models: off-rate could be an exponential function of force and/or the square of force 2. In his derivation based on the transition state theory, Dembo et al. realized a theoretical possibility that off-rate could be a decreasing function of force in addition to being an increasing function of force as originally proposed by Bell. Different types of bonds were classified according to how their off-rates respond to increasing force: slip bonds if off-rates are increased, catch bonds if off-rates are decreased, and ideal bonds if off-rates are the same 2. Evans and Ritchie 3 derived the Bell model from Kramers’ kinetic rate theory 4. Dissociation was treated as a thermally activated diffusive escape over an energy barrier (the top of which is the transition state) from an energy well that trapped the interacting molecules in the bound state. The applied force tilted the energy landscape and lowered the energy barrier, thereby accelerating dissociation. This treatment considered the system to be far from thermodynamic equilibrium, which was thought to be more appropriate than the equilibrium treatment employed in the derivation of catch bonds by Dembo et al. Under the assumption of a single dissociation pathway, such a simple physical picture only allowed slip bonds. Thus, although the catch bond concept was intriguing and sparked some debates in the field, it was generally dismissed because it was unusual and counterintuitive.
Using atomic force microscopy, biomembrane force probes and flow chamber experiments, catch bonds have recently been demonstrated for P-selectin 5 and L-selectin 6,7,8 dissociating from P-selectin glycoprotein ligand 1 (PSGL-1) at low forces. At high forces they transition to slip bonds like those previously observed 9,10. Catchslip transitional bonds have also been reported for other systems, including the bacteria adhesin FimH interacting with mannose ligands 11,12 and myosin interacting with actin 13. Several theoretical articles have modeled the catchslip transitional bonds 12,14,15,16,17,18,19. Most of these models extended the topology of the assumed energy landscape from a one-dimensional curve to a two-dimensional surface and the assumed number of dissociation pathways from one to two. The external force was assumed to lower the energy barrier along an individual pathway, but it was also assumed to switch dissociation from a fast to a slow pathway, thereby generating the catchbond behavior. Thus, although along each pathway dissociation might behave as a slip bond on its own right, the force-induced redistribution of relative proportions of dissociation along the two pathways resulted in catch bonds at low forces, which then transitioned to slip bonds at high forces. Different models made different assumptions regarding whether there were one or two internal bound states, whether the internal bound states were in rapid equilibrium or were slowly converted from one to another, whether one of the pathways had to be a catch bond by itself or both could be slip bonds, and/or whether the energy landscape was rigid or could be deformed by force in addition to being tilted by force. Although all were capable of curve-fitting the experimental data, these data are insufficient to validate or rank the models. A major deficiency of the published models is that they neither take into account the structure of the interacting molecules nor explain how noncovalent interactions at the atomic level give rise to two dissociation pathways.
The purpose of this article is to address this gap by exploring how simple kinetic properties assumed for atomic-level interactions can cooperate to generate catchbond behavior at the level of unbinding of macromolecular complexes. Using crystallography data and MD simulations we analyzed selectin:ligand structures, their possible conformational changes, the network of noncovalent interactions distributed over the binding interface, and their dynamic changes over time in the absence of force and in the presence of a pulling force that was applied to induce conformational change and/or unbinding. Based on the insights obtained from these observations, we proposed a sliding-rebinding mechanism for catch bonds, related it to the two-pathway models, examined the properties of our model, and tested it against experimental data.
The crystal structures of the lectin and epidermal growth factor (EGF) domains of unliganded P-selectin (Protein Data Bank (PDB) code, 1G1Q) and P-selectin liganded with sialyl Lewis x (sLex) (PDB code, 1G1R) or with the N-terminal portion of PSGL-1 (PDB code, 1G1S) 20 were used as starting coordinates. In some simulations, only the lectin domain was used by deleting the EGF domain from residues 121–158. The molecules were solvated in rectangular water boxes and neutralized by adding Ca2+ and Cl− ions to create a ∼50mM calcium concentration known to be required for selectin-ligand binding. The largest system had 52,213 atoms (including 7 Ca2+ and 9 Cl−) in a water box of 120×64×72Å3. Free dynamics and steered molecular dynamics (SMD) simulations 21 were performed using the NAMD program 22 with the CHARMM22 all-atom force field for proteins 23. The sugar force field was modified from a carbohydrate solution force field (CSFF) 24. Missing parameters for
group of sulfated tyrosine,
carboxyl group of sialic acid (NeuNAc), as well as N-acetyl group of N-acetyl-d-galactosamine (GalNAc), N-acetyl-d-glucosamine (GlcNAc), and sialic acid were adopted from the CHARMM22 parameters of the groups with similar topologies. Periodical boundary condition was used along with particle mesh Ewald method for electrostatic interaction and a 12-Å cutoff for van der Waals interaction. The system was energy-minimized by 10,000 steps with heavy atoms fixed first and then another 10,000 steps with all atoms free. After energy minimization, the system was heated up from 0 to 300K in 100ps and then equilibrated for 1.5–2ns with pressure and temperature control. The temperature was held at 300K using Langevin dynamics and the pressure was held at 1atm by Langevin piston method. Free dynamics or SMD simulations were then run on the equilibrated system. For SMD, the O1atom of residue GlcNAc (N-acetyl-O-methyl-d-glucosamine) of sLex or the Cα atom of residue Pro-18 of PSGL-1 was pulled through a spring with a spring constant of 70 pN/Å at a constant speed of 5, 10, or 50Å/ns. The Cα atom of Gly-147 of the EGF domain or of Ala-120 of the lectin domain was constrained to its equilibrated position. Constraining Gly-147 instead of the C-terminal residue reduced the likelihood for the EGF domain to be unfolded during simulation. The interdomain angle was quantified as the angle between two lines, respectively, connecting the respective centers of masses of the lectin domain (residues 1–119) and majority of the EGF domain (residues 122–141) to that of the hinge (residues 120 and 121). Simulation data were sampled at a frequency of 1012 Hz unless stated otherwise. New interaction formation was defined by an interatomic distance of <3.5Å that lasted for >25, 25, or 5ps for pulling speeds of 5, 10, or 50Å/ns, respectively. All protein structures are drawn with visual molecular dynamics 25.
In a recent study, we formulated a minimal model for the sliding-rebinding mechanism with only two pairs of pseudoatoms 8. Here we formulated a more general model with an arbitrary number (N) of pseudoatom pairs. Both models were solved using Monte Carlo simulations but the detail implementations were different. This simulation had N stages. In the Ith stage (1≤I≤N), I pairs of pseudoatoms were capable of interacting and the association and dissociation kinetics of each pair were simulated. At the end of the Ith stage when all I pairs of pseudoatomic interactions dissociated, sliding and rebinding were simulated. Sliding moved the simulation forward to the (I-1)th stage (or dissociation of the entire complex if I=1) whereas rebinding brought the simulation backward to the (I+1)th stage (for I<N) (see Figure 5GH).
Simulations started from the Nth stage assuming that all N pseudoatomic interactions were in the bound state initially at the first step. Each stage had many steps. It was assumed that all pseudoatomic interactions in a macromolecular complex were identical, were independent from each other, and followed first-order kinetics with a constant on-rate k+1 and a force-dependent off-rate that obeyed the Bell equation 1:
![]() | (1) |
and a are model parameters, f is the current level of applied force, kB is Boltzmann constant, T is absolute temperature, and n is the number of bound pseudoatomic interactions in the present step. The fate of each pseudoatomic interaction was governed by a survival possibility,
, or a binding probability,
, depending on whether that pseudoatomic interaction was bound or free in the immediate-past step. A random number uniformly distributed between 0 and 1 was generated for the value of ps or pb to allow calculation of the survival time,![]() | (2) |
![]() | (3) |
After all pseudoatomic interactions in the current stage dissociated, the system entered the next stage to simulate sliding and formation of new interactions. Sliding made it difficult for the original pseudoatom pairs to interact but created opportunities for the newly paired pseudoatoms to interact. Rebinding of pseudoatoms at the edge of the contact surface was treated differently because their partners on the other side of the interface had dislocated (see next paragraph). Excluding the edge pseudoatoms reduced the number of possible new interactions. The number of reductions depends on the shape of the interface and the spatial distribution of the pseudoatoms assumed. Here the pseudoatoms were assumed to align along a straight line such that dislocation at the interface by one sliding step only reduced a single pair of pseudoatoms (cf. Figure 4GH). In other words, only one pseudoatom on one side of the interface moved ahead of the contact and one pseudoatom on the other side of the interface moved behind the contact. The rest of the pseudoatoms remain in contact but were now paired with new partners for possible interactions. Whether any one of them actually did interact was determined by comparing a random number (uniformly distributed between 0 and 1) to a probability for formation of new interaction that depends on the current level of force,
![]() | (4) |
From the (N-1)th stage onward, the possibility for the pseudoatoms that just moved out of the interface (to enter into the present stage) to rebind was treated by calculating the time-to-rebind,
![]() | (5) |
Six selectin (lectin and EGF domains) crystal structures have been obtained: unliganded E-selectin 20,26, P-selectin 20, and L-selectin (P. Mehta, V. Oganesyan, S. Terzyan, T. Mather, and R. P. McEver, personal communication, 2004), E-selectin and P-selectin, respectively, liganded with sLex20, and P-selectin liganded with the N-terminal fragment of PSGL-1 20. We examined these structures to search for a mechanistic basis for catch bonds, which have been observed for P-selectin interacting with PSGL-1 5 and L-selectin interacting with PSGL-1 6,7,8 and with 6-sulfo-sLex8. We used MD simulations to study these structures dynamically in the absence (free dynamics) and presence of a pulling force (SMD). The lectin-EGF interdomain angle of P-selectin was crystallized in two conformations. An “open-angle” conformation was observed in the structure of P-selectin liganded with PSGL-1 where the interdomain angle was 139.3° (Figure 1A). By comparison, a “closed-angle” conformation was observed in the structure of P-selectin liganded with sLex where the EGF domain bent toward the lectin domain with an interdomain angle of 114.6° (Figure 1A; only the EGF domain is shown), which is the conformation also observed in the other four selectin structures. Although the EGF domain is attached to the end of lectin domain opposite to where PSGL-1 binds, it has been shown experimentally to regulate ligand binding 8,27,28,29,30. In a recent study using free dynamics simulations, we observed that L-selectin, whose crystal structure aligns well with the closed-angle crystal structure of P-selectin (P. Mehta, V. Oganesyan, S. Terzyan, T. Mather, and R. P. McEver, personal communication, 2004), could transition to an open-angle conformation that aligns well with the open-angle crystal structure of P-selectin, although such transition was observed in only two of seven simulations 8. In this study we performed free dynamics simulations using the closed-angle (three 5-ns simulations, supplemental video 1, Supplementary Material ) or the open-angle (three 5-ns simulations, supplemental video 2 ) P-selectin as a starting structure. Although the interdomain angle fluctuated about the original position (either closed or open), transition to the other conformation was not observed (Figure 1B), suggesting that the structure may be stable in both conformations and/or the average time required for conformational transition may be much longer than our simulation times. An Hbond between Gln-30 of the lectin domain and Glu-135 of the EGF domain was observed in the closed-angle but not the open-angle crystal structure, which may stabilize the closed-angle conformation (Figure 1A). Ile-137 in the EGF domain packed hydrophobically with residues in the lectin domain differently in the open and closed-angle conformations, which may stabilize both conformations because conformation transition may require Ile-137 to unpack and repack.
Can the interdomain angle opening be induced by a pulling force that applies a moment about the hinge? If so, is this related to catch bonds? We used SMD simulations to address these questions. In these simulations, the O1atom of GlcNAc of sLex or the Cα atoms of Pro-18 of PSGL-1 was pulled by a spring (spring constant ∼70 pN/Å) that moved at a constant speed 5,10, or 50Å/ns). The Cα atom of Gly-147 of the EGF domain was constrained. In Figure 1C, the lectin-EGF angles are plotted against force for the respective simulated structures of P-selectin liganded with sLex (mauve) and PSGL-1 (blue). The plots are busy as there were significant fluctuations in both force and angle. However, a sigmoidal trend correlating the increasing force with increasing angle is evident. It is also evident that the plots appear as alternating regions of dense and sparse data points. Because data were collected every picosecond, regions with dense data points represent relatively stable conformations (marked by horizontal lines in Figure 1C) whereas regions with sparse data points reveal more rapid transitions. The simulated structural changes in time are shown in supplementary videos 3 and 4 (Supplementary Material) . The angle of the P-selectin:sLex structure fluctuated about the close conformation (114.6°, marked by a solid mauve line) until the force exceeded 100 pN after which it increased by ∼5o (Figure 1C). Note that this new interdomain angle (∼120°, marked by a cyan line) was also observed in free dynamics simulations (Figure 1B). In the SMD simulation, the structure fluctuated about that angle for the next ∼100 pN of force increase and then jumped ∼14° to an angle of ∼134° slightly smaller than the open-angle (139.3°) conformation observed in the P-selectin:PSGL-1 cocrystal structure (Figure 1C, marked by a blue line). Note that this 134° angle was also observed in free dynamics simulations with the open-angle structure after equilibration (Figure 1B). Interestingly, force induced further opening of the interdomain angle in both structures (although by different amounts due to a difference in the point where the pulling forces were applied) (Figure 1C). These observations suggest that force regulates the interdomain angle by applying a moment to overcome the bending rigidity of the hinge at its stable conformations that may be stabilized by noncovalent interactions at the atomic level.
P-selectin binds PSGL-1 in a stereospecific manner, as previously described 20,31,32. The binding surface on the lectin domain fits that of PSGL-1 with high degree of electrostatic complementarity. Shown in Figure 2A using electrostatic potential surface representation, the positively charged residues (whose nitrogen atoms are shown in blue) are mostly located on one side where the peptide segment of PSGL-1 (pink tube) docks whereas the Hbond acceptor/donor residues (whose oxygen atoms are shown in red) are located mostly on the other side where the glycan (green sticks) docks. The first 20 amino acids of the PSGL-1 peptide is highly negatively charged, with seven acidic residues and three negatively charged sulfated tyrosines (seven of which are observed in the cocrystal structure and shown as red sticks in Figure 2AB), which can potentially form electrostatic interactions with the basic residues on the lectin. The glycan of the PSGL-1 N-terminal region has a large number of oxygen atoms, which can potentially form Hbonds with Hbond acceptor/donor residues on the lectin. However, only some of these potential interactions were observed in the cocrystal structure, as shown in Figure 2B where the interacting atoms from the lectin and PSGL-1 are, respectively, colored cyan and yellow, which are distributed over a broad and shallow interface.
Unbinding of PSGL-1 from P-selectin was simulated using 5, 10, and 50Å/ns pulling speeds with both the lectin and EGF domains (e.g., supplemental video 4 ) or with the lectin domain alone after deleting the EGF domain (e.g., supplemental video 5 ). Similar to a recent report 33, the EGF domain was observed to unfold before the lectin domain unbinds from PSGL-1 in most simulations. Unfolding of globular domains has been observed in SMD simulations 34,35, even in those that were intended to unbind receptor:ligand complexes 36. Because lowering pulling speed resulted in unbinding of CD2:CD58 complex without unfolding, unfolding was suggested to be an artifact of the unrealistically high-speed pulling to accelerate dissociation that takes place in millisecond-to-second laboratory timescales to the nanosecond timescale achievable by MD simulations 36. To reduce unfolding, we constrained the Cα atom of the Gly-147 instead of C-terminal residue of the EGF domain (cf. supplemental video 4 ). We also used periodic boundary conditions to treat electrostatic interaction more accurately. In one of 24 simulations performed, unbinding was observed without unfolding of either the lectin or EGF domain, allowing us to quantify the interdomain angle changes during unbinding and their relationship with force and other events that occurred concurrently at the binding interface (Figure 1CAADF and Figure 3CAADF and Figure 4CAADF and Figure 5CAADF, and supplemental video 4 ).
The time course of force at the spring where the Cα atom of PSGL-1 Pro-18 was attached is shown in Figure 3A for this unbinding simulation. The force increased steadily until ∼2.1ns when the interaction between sulfated Tyr-10 and Arg-85 began to break, which initiated the dissociation of the complex. The force decreased slowly as this and other interactions ruptured, but abruptly after the calcium coordination bond with Fuc ruptured at ∼2.6ns, when almost all preexisting interactions observed in the cocrystal structure had broken. Interestingly, new interactions were observed to form as PSGL-1 slid over the lectin surface. Six durable new interactions are shown by color-matched paired arrows in Figure 3A, with the up arrows indicating when a new interaction was formed and the down arrows indicating when that interaction was ruptured. The residue pairs involved in the new interactions are indicated with matched colors, with P-selectin residues on the left and PSGL-1 residues on the right (Figure 3A). Snapshots of the binding interface at various simulation times during dissociation are shown in Fig. 4. The continuous changes in the complex structure along the dissociation pathway are shown in supplementary video 4 and snapshots at several simulation times are shown in Figure 5ADF. After dissociation of all preexisting interactions, the PSGL-1 glycan slid over the basic residue Arg-85 and the PSGL-1 peptide slid over the basic residue Lys-112 (Fig. 4). It was these and other interactions (summarized in Figure 3C) that held the P-selectin:PSGL-1 complex together, slowed the rapid decline in force and even caused a small increase in force, and prolonged dissociation for ∼1ns (Figure 3A).
In this simulation, a majority of the new interactions were observed after all preexisting interactions had dissociated to allow interface sliding. Of the six shown in Figure 3A, three were formed and broken before all preexisting interactions dissociated at ∼2.6ns. The other three were formed after that time. Three more new interactions were also observed after dissociation of all preexisting interactions, but are not shown in Figure 3A due to their short durations (<0.1ns). It is intuitive that sliding would promote new interaction formation because the two sides of the interface exhibit broad electrostatic complementarity, as previously discussed (Figure 2A), which may allow binding with multiple partners when sliding brings them into close proximity. Indeed, sliding and formation of new interactions was repeatedly observed in different simulations, including those that unfolded the EGF domain and those that deleted the EGF domain. Although unfolding of the EGF domain resulted in a force history different from that shown in Figure 3A (see Lü and Long 33), the observations that sliding promoted new interaction formation and that new interactions slowed force decline and prolonged dissociation were similar. Simulations with a lectin:PSGL-1 structure that deleted the EGF domain were performed to obtain clearer force histories not obscured by unfolding of the EGF domain. One such simulation is shown in Figure 3B and supplementary video 5 , where all new interactions (total of four, only two durable ones are shown) were observed after all preexisting interactions had dissociated. It is evident from Figure 3B that new interactions delayed dissociation of the lectin:PSGL-1 complex. Depending on the pulling speed and direction, different new interactions were observed in different simulations. A residue on one side of the interface might form multiple new interactions with multiple residues on the other side in a single simulation or in different simulations. Counting only those formed after all preexisting interactions had dissociated, a total of 109 new interactions were observed in a total of 24 SMD simulations (totaling >70ns) performed to unbind the P-selectin:PSGL-1 complex. The number of new interactions observed per simulation is shown in Figure 3C (inset) for the three pulling speeds tested. In Figure 3C, the number of new interactions is plotted against the PSGL-1 residue involved, which is broken down among the lectin residues with which they interacted. These residues are mapped onto the lectin surface in Figure 2C where those that interacted with the peptide, glycan, or both were, respectively, colored in blue, red, or green. The PSGL-1 residues involved in new interaction formation are colored in red in the PSGL-1 N-terminal sequence shown in Figure 2D. New interaction formation was often observed to involve multiple atoms from the same residue.
The fucose, which participated in the calcium coordination in the cocrystal structure 20, stood out as the PSGL-1 residue that was most frequently observed to form new interactions with four lectin residues (total of 22 new interactions; Figure 3C). Three other residues on the PSGL-1 glycan (NeuNAc, Gal, and GlcNAc) were also frequently observed to form new interactions. The residues with which they interacted mostly came from a loop comprising residues Asn-83–Asp-89. Remarkably, Arg-85 was most frequently observed to form new interactions (total of 48). This lectin residue made contact with sulfated Tyr-10 in the cocrystal structure 20 (Figure 4A), but SMD simulations revealed that, during unbinding, it could interact with 10 other PSGL-1 residues—the largest number of new partners with which any lectin residue was observed to interact (Figure 3C).
Eight residues from the PSGL-1 peptide were observed to form new interactions, including the three sulfated tyrosines. Among these, sulfated Tyr-5 was most frequently observed to form new interactions (total of 19; Figure 3C). Interestingly, sulfated Tyr-5 was not visualized in the crystal structure, suggesting that it was flexible and did not interact with P-selectin under the crystallization condition 20. This was puzzling because the functional importance of sulfated Tyr-5 has been demonstrated experimentally by mutagenesis 37 and biochemical studies 20,31,32. We modeled sulfated Tyr-5 by assigning several initial positions. During equilibration, it formed an Hbond with the backbone nitrogen of Ala-9 (Figure 4A) and/or a salt bridge with Lys-8 of P-selectin. In the SMD simulations, sulfated Tyr-5 was observed to form new interactions with seven lectin residues (Figure 3C). These results provide an explanation for the apparent discrepancies between crystallographic data and functional data.
Significantly, the frequency of new interaction formation appears to correlate with the opening of the interdomain angle, as no new interaction was observed to form before the interdomain angle opened. In simulations without the EGF domain, pulling on PSGL-1 induced a rotation of the lectin domain about the Ala-120Cα atom that was constrained in the simulation, which was similar to the rotation about the interdomain hinge in simulations with the EGF domain when the angle was forced to open. It is intuitive that the binding interface would be tilted by the lectin domain rotation to better align with the force direction (Fig. 5), which would promote the sliding of the PSGL-1 across the binding surface. Furthermore, before final rupture, atomic-level interactions, regardless of whether they were previously or newly formed, were often observed to dissociate and rebind repeatedly, giving rise to the fluctuating appearance in the force time courses (Figure 3AB). For example, sulfated Tyr-5 firstly formed a new interaction with Lys-112 at 0.3ns, then dissociated from it at 1.2ns, rebound it at 2.8ns despite the fact that sulfated Tyr-5 was some distance away from Lys-112 between 2.5 and 2.7ns (Figure 4BC), and finally dissociated from it at 3.6ns (Figure 3A). This is also intuitive, as residues that made atomic-level contacts were held in close proximity to their interacting partners for certain periods of time even after dissociation because the complex was held together by other interactions.
Due to limited computational resources, any of the above simulations was run for only several nanoseconds. To observe selectin-ligand dissociation that takes a fraction of a second to occur in the laboratory in nanosecond simulations, the processes had to be accelerated by pulling the molecules with six orders of magnitude higher speeds using springs three orders of magnitude stiffer than those used in experiments, resulting in rupture forces two orders of magnitude greater than those measured in the laboratory. Nevertheless, it seems reasonable to assume that many of the features observed in the MD simulations, including multistable interdomain conformations, force-induced interdomain angle opening, binding interface tilting/sliding, formation of new interactions, and repeated dissociation and rebinding of atomic-level interactions, would also occur in reality during single-molecule experiments of forced unbinding of selectin:ligand complexes. In particular, formation of new interactions and repeated dissociation and rebinding of the atomic-level interactions would seem likely because the much slower selectin:ligand dissociation in laboratory experiments pulled by much slower speeds, much softer springs, and much smaller forces would likely make it much easier for these events to occur, which also likely last much longer. Indeed, the number of new interactions observed per simulation was more than doubled when the pulling speed was reduced from 50 to 10Å/ns (Figure 3C, inset). This doubling likely underestimates the increase in the number of new interactions because new interaction formation was defined by an interatomic distance of <3.5Å that lasted for >5ps for pulling speed of 50Å/ns but >25ps for pulling speed of 10Å/ns (so that the pulling spring would move the same distance). By this definition, new interactions observed in the 10Å/ns pulling simulations also lasted much longer than those observed in the 50Å/ns pulling simulations. We further assume that rebinding can also occur between atomic contacts that are dissociated in the previous steps, i.e., returning back to their previous binding partners after they have slid away and formed new interactions with new binding partners. That such events were not observed was hypothesized to be an artifact of the MD simulations that unrealistically speeded up unbinding by excessive forces. In addition, we assume that ligand can bind a selectin in the open-angle as well as in the closed-angle conformation, as E-selectin and P-selectin liganded with sLex were observed in a closed-angle conformation in their respective cocrystal structures 20.
The above assumptions form the basis for a mechanistic model for catch bonds observed experimentally for P-selectin and L-selectin dissociating from their ligands 5,6. We termed this a “sliding-rebinding” mechanism, which is schematically shown in Fig. 5 using simulated structures observed during unbinding of PSGL-1 from P-selectin, but is assumed applicable to unbinding of PSGL-1 or 6-sulfo-sLex from L-selectin as well 8. In the model, the various multistable conformations of the lectin-EGF interdomain angle are in dynamic equilibrium with or without ligand binding. The fraction of time for the structure to stay in any conformation and the frequency of transition from one state to another are both regulated by externally applied force, such that it is mostly in the closed conformation in the absence of force but more likely to transition to and to stay in more open conformations when a force is applied to unbind the selectin:ligand complex. Thus, dissociation at low force would occur along a pathway indicated by the purple horizontal arrow pointing rightward from panel A to panel E in Fig. 5. Because the binding interface would be more perpendicular to the force direction, dissociation would occur without much sliding and rebinding, which is along a fast dissociation pathway with short lifetimes. When a higher force is applied, the dynamic equilibrium between the two interdomain angles would shift toward having a higher fraction of time in the open conformation observed in the liganded P-selectin crystal structure 20 and in the MD simulated L-selectin structure 8 or an even larger opening angle as that observed in Figure 1C. The rotation of the lectin domain resulting from the interdomain angle opening would tilt the binding interface to better align with the direction of force, thereby promoting sliding. This would provide an opportunity for new interactions to form, which would replace those that are disrupted, or for the original interactions to reform, which would return the system back to its previously bound state, before the ligand fully dissociates, thereby slowing dissociation and prolonging lifetime. This would represent a switch to a slow dissociation pathway, as shown by the purple vertical arrow pointing downward from panel A to panel B and by other purple arrows indicating possible subsequent events from panel B to panels C, D, F, and/or back to panel B in Fig. 5. Such a force-induced deceleration of dissociation is a hallmark of catch bonds 5,6. Thus, the model assumes that force applies a moment to the multistable interdomain hinge between the lectin and EGF domains to allosterically elicit catch bonds with ligand by sliding and rebinding. Once the interdomain angle is fully opened, the probability for new bond formation and rebinding reaches maximum; further increases in force can no longer prolong bond lifetimes. Instead, force would accelerate dissociation of each individual atomic-level interaction, thereby resulting in transition from catch bonds to slip bonds.
We have formulated mathematical models using reduced representation for the network of noncovalent interactions to test the sliding-rebinding mechanism. This can be done in many different ways depending on how detailed the atomic-level interactions one wishes to describe. To test the basic idea and key elements of the sliding-rebinding mechanism, we constructed a tractable model using pseudoatomic interactions to simplify the real noncovalent interactions (Figure 5GH). This formulation idealizes the binding interface geometry, assumes identical kinetic properties for all pseudoatomic interactions, only considers new interaction formation after all preexisting interactions dissociate, and can be easily implemented with Monte Carlo simulations. The simulation assumed N pairs of pseudoatoms and proceeded in N stages (Figure 5G). In the starting stage all N pseudoatom pairs interact according to simple kinetic laws and dissociate as ordinary slip bonds independent to each other, except that they share the applied force equally. After all N initial interactions dissociate the interface may slide if it is tilted by a force-induced opening of the interdomain angle. Sliding provides equal opportunities for N-1 pairs of pseudoatoms to interact (Figure 5H); but if none forms new interactions the whole complex would dissociate. After all N-1 pseudoatomic interactions dissociate, the system may rebind and return to the previous stage with N pseudoatomic interactions, further slide into the next stage where N-2 pseudoatom pairs can interact, or dissociate. Stage by stage, sliding separates the two molecules while rebinding brings them back, as indicated by the arrows in Figure 5H. Bond lifetime is prolonged by two mechanisms: forming new interactions after sliding and returning to the previous stage after rebinding. The detailed implementation of this model in Monte Carlo simulations is described in the Methods section.
Assuming that the rebinding rate and the probability for forming new interaction are independent of the stage in which the system currently resides, the Monte Carlo model requires only five parameters regardless of the number of pseudoatom pairs assumed. These include a constant on-rate k+1 for association of any individual pseudoatomic interaction, a force-free off-rate
and an energy well width a for force-dependent dissociation of any individual pseudoatomic interaction that follows the Bell equation (Eq. (1) in Methods), a constant rebinding rate k+2, and a force scale f0 above which the interdomain angle will be fully opened (see Methods).
It is evident from Fig. 6 that the sliding-rebinding mechanism (as implemented by this pseudoatom representation and parameterized by the present Monte Carlo simulation algorithm) can generate theoretical curves that mimic experimentally measured single molecule catchslip bonds data published to date 5,6,7,8,13. To illustrate how various aspects of the model behavior depend on the parameter values, a dimensionless bond lifetime
is plotted against a dimensionless force fa/kBT for ranges of three dimensionless parameters,
(Figure 6A),
(Figure 6B), and f0a/kBT (Figure 6C). Increasing
upshifts the
vs. fa/kBT curve toward longer lifetimes (Figure 6A). The linear increase of the maximum
value with increasing
over a wider range is shown in Figure 6A (inset). These results are intuitive because
is the force-free binding affinity for an individual pseudoatomic interaction.
versus dimensionless force fa/kBT for indicated values of three dimensionless parameters. (A) Changing
while keeping the other two constant. (B) Changing
while keeping the other two constant. (C) Changing f0a/kBT while keeping the other two constant. In the insets, the maximum of the lifetime versus force curve (
) and/or the force where lifetime reaches maximum ([fa/kBT]opt) are plotted against
(A),
(B), and f0a/kBT (C) for constant values of the other two parameters (indicated in the corresponding main panels).Increasing
augments catch bonds by lengthening lifetime and widening the force range of catch bonds (Figure 6B). As shown in Figure 6B (inset) over a wider range of
values, the force where lifetime reaches maximum (optimal force) increases initially with increasing
then approaches a plateau. The maximum lifetime, however, increases linearly with increasing
values. Because
represents a dimensionless rebinding rate, these results demonstrate that rebinding can indeed provide a mechanism in the model to produce catch bonds.
Decreasing f0a/kBT also augments catch bonds by lengthening lifetime at smaller force but narrows the force range for catch bonds instead of widening it (Figure 6C). In Figure 6C (inset), the force where lifetime reaches maximum (optimal force) is shown to be an increasing function of f0a/kBT, whereas the maximum lifetime is shown to be a decreasing function of f0a/kBT. This is intuitive because the dimensionless force scale f0a/kBT reflects the bending rigidity of the interdomain hinge. The smaller the f0a/kBT, the more flexible the lectin-EGF hinge, the smaller the force required to induce interdomain angle opening, sliding, and formation of new interactions, thereby prolonging bond lifetimes at smaller force and left-shifting the optimal force where lifetime reaches maximum. This parameter has no impact on the slip bonds.
We fitted the published bond lifetime versus force data for soluble (s) PSGL-1 dissociating from P-selectin (Figure 7A) 5 and L-selectin (Figure 7B) 6 by the simplest model with only two pairs of pseudoatoms (N=2, solid curves) and a less simplified model with three pairs of pseudoatoms (N=3, dashed curves). Both models fit the data equally well (Figure 7AB), which is expected from the general properties of the sliding-rebinding model (Fig. 6). The fitting parameters are summarized in Table 1. These appear reasonably ranged except for k+2, which seems too large. As discussed in a separate study 8, the unrealistically large k+2 may result from an overly reduced representation, namely, representing a large number of noncovalent interactions with too small a number of pseudoatomic interactions and assuming the same kinetic properties for all pseudoatomic interactions regardless of whether they were preexisted or newly formed. This view is supported by the finding that the fitting parameters of the model with three pairs of pseudoatoms (i.e., N=3) were similar to the corresponding parameters of the model with two pairs of pseudoatoms (i.e., N=2) except for k+2, which is much smaller and more realistic (Table 1).
| Table 1 Summary of fitting parameters |
| Model interaction | (1/s) | kBT/a (pN) | k+1 (1/s) | k+2 (1/s) | f0 (pN) | ||
|---|---|---|---|---|---|---|---|
| Two pseudoatom pairs P-selectin-sPSGL-1 | 30 | 12 | 30 | 1300 | 12 | ||
| Three pseudoatom pairs P-selectin-sPSGL-1 | 90 | 11 | 30 | 630 | 13.5 | ||
| Two pseudoatom pairs L-selectin-(s)PSGL-1 | 70 | 91 | 30 | 500 | 59.5 | ||
| Three pseudoatom pairs L-selectin-(s)PSGL-1 | 110 | 91 | 30 | 150 | 70 | ||
The experimental data in Figure 7AB, were fitted using mean lifetimes. Each Monte Carlo simulation resulted in a random lifetime. It was repeated 500,000 times at each force to generate an ensemble from which the survival probabilities as functions of time can be calculated for various force levels. For the two models tested (N=2 and 3), these appear as straight lines in semilog plots (Figure 7CD), as would be predicted from first-order dissociation kinetics. Furthermore, the reciprocal negative slopes of these lines agree well with the means and standard deviations of lifetimes for each force level, just as single exponential decays would predict. Thus, the experimentally observed apparent first-order dissociation kinetics can be reproduced by our sliding-rebinding model via cooperation of the multiple pseudoatomic interactions 38.
The goal of this work was to explore the structural basis for catch bonds. Although several crystal structures of selectins with or without complexing with ligands have been solved, which served as a foundation for this study, not enough insights could be obtained from analyses of these static structures to reveal a basis for catch bonds. Analysis of protein sequences alone is also unlikely to uncover the structure basis of catch bonds 39. A likely reason is that catch bonds are unusual kinetic properties emerging from many dynamic interactions at the atomic level over time. Furthermore, catch bonds represent changing kinetic properties in response to an externally applied force. However, no one has grown protein crystals under tension, much less under different tensile forces. Thus, the structural bases for catch bonds are unlikely to be understood without MD simulations. In particular, SMD can be used to study the effects of force on structures over time. However, although MD simulations can reveal dynamic changes of the molecular structure in atomic detail at intervals on the femtosecond timescale, our computational resources only allow us to compute processes in the nanosecond timescale for molecules of the size of selectin lectin-EGF domains (molecular weight is ∼20,000). Unrealistically large forces had to be used to accelerate P-selectin:PSGL-1 unbinding that takes place on subsecond timescale in laboratory experiments, which is likely the reason why the EGF domain was unfolded in most of the simulations. Nevertheless, interesting features were observed from these simulations, including multistable interdomain hinge conformations, force-induced opening of hinge angle, sliding of molecular contacts over a tilted binding interface, formation of new interactions, and repeated dissociation and reassociation of noncovalent interactions. These observations form the basis of the proposed sliding-rebinding mechanism for catch bonds, which was modeled mathematically using reduced representation for noncovalent interactions.
Although more involved, the pseudoatom representation of the sliding-rebinding mechanism can be related to the previous two-pathway models 6,12,14,15,16,17. Our Monte Carlo simulation algorithm has N (≥2) stages if N pairs of pseudoatoms are assumed. The system in the Ith stage can either slide to the (I-1)th stage, rebind to the (I+1)th stage, or dissociate (Figure 5H). This can be considered as a model of N internal bound states and N dissociation pathways. Each stage can be thought of as an internal bound state. The only difference is that the Ith bound state includes I (1≤I≤N) pairs of interacting pseudoatoms instead of just one. To illustrate this point, we formulated a set of kinetic equations for the minimal sliding-rebinding model that contains two pairs of pseudoatoms (i.e., N=2). Such a system has four possible states. Let p11 denote the probability for the molecular complex to be bound with both pairs of pseudoatoms, p10 denote the probability for the molecular complex to be held by either pseudoatom pair (the other pair has dissociated) in its original position without sliding, p01 denote the probability for the molecular complex to remain bound by the newly formed interaction between a switched pseudoatomic pairing after sliding, and p00 denote the probability of dissociation. Their rates of changes are described by the following master equations:
![]() | (6) |
As in the Monte Carlo simulations, the on-rate k+1 and rebinding rate k+2 are constants. The off-rate k−1 is given by Eq. (1) (with n=1) and k−2=2k−1(f/2) because each pseudoatomic interaction is assumed to be identical and share the force equally. The probability for new interaction formation pn is given by Eq. (4). Under the initial conditions p11=1 and p10=p01=p00=0, solutions to Eq. (6), which can be obtained analytically when force is kept constant, should yield the same results as Monte Carlo simulations. In particular, ln(1-p00) versus t curves at different levels of constant force should yield the same nearly linear plots as those shown in Figure 7C.
Equation (6) differs from previous catchbond models 6,12,14,15,16,17 in two aspects. First, in the third equation a force-dependent probability pn is introduced to provide the opportunity for new interaction formation after dissociation from state (1,0), i.e., the state at which the molecular complex is held by either pseudoatom pair in its original position. Only when no new interaction forms (probability 1-pn) will the complex dissociate to the free state (0,0) in the fourth equation. Second, the introduction of a new state (0,1) by the formation of a new interaction provides the opportunity for rebinding, allowing the system to return to state (1,1) in the first equation. Both aspects contribute to the catchbond behavior of the system.
The previous models conceptualize two-pathway dissociation from an abstract viewpoint of energy landscape without considering the structure of the interacting molecules and the atomic-level noncovalent interactions involved. Following Eq. (6), we can construct a conceptual energy landscape for the sliding-rebinding model with two pairs of interacting pseudoatoms (Fig. 8). Complex formation should result in a low energy well as indicated by the bound state, which represents the sum of states (1,1) and (1,0) in Eq. (6). At low forces, dissociation may occur mostly as diffusive escape from this energy well along pathway 1 to the free state (0,0) (Fig. 8). Initial increases in force may open the interdomain angle, which may tilt the selectin:ligand interface to better align with the direction of force, thereby promoting interface sliding and new interaction forming. This may steer the force direction away from the direction of pathway 1, thereby limiting the effect of force-accelerated dissociation along this pathway, and toward the direction of sliding, thereby enhancing transition from the bound-state energy well to a neighboring energy well. This neighboring energy well, which represents state (0,1) in Eq. (6), may allow two things to happen. First, it may slow dissociation as dissociation now takes pathway 2. Second, it may provide an opportunity for rebinding to occur, which brings the system back to the bound-state energy well, thereby further prolonging bond lifetimes. The relative ease with which the system dissociates along pathway 1 or slides into the new interaction energy well may increase with force as it increases in magnitude and turns in direction, thereby giving rise to the catch bond behavior. After exceeding a certain level, further increase in force may not be able to increase the likelihood of sliding any further, thereby turning the catch bond to a slip bond. By relating this model to the previous models 12,14,16,17 through an energy landscape description, the hypothesis of two internal bound states proposed in previous models 12,14,16,17 has been supported by structural evidence obtained by our SMD simulations. For a sliding-rebinding model with N pairs of interacting pseudoatoms, we can conceptualize N-1 new interaction energy wells in series with the bound-state energy well and N pathways for dissociation. The Ith energy well (counting from the outermost one inward) represents the collective interactions of I pairs of pseudoatoms.
The above energy landscape description provides another avenue to further develop the sliding-rebinding model. For example, the kinetics of I pseudoatomic interactions in the Ith energy well can be simplified as a single interaction. The rebinding on-rate can be formulated as a decreasing function of force because the tilted energy landscape may lower the Ith energy well more than the (I+1)th energy barrier, which would slow rebinding.
Force regulation of a multistable interdomain hinge is a crucial element of the sliding-rebinding mechanism for catch bonds. Parametric analysis predicts that increasing the hinge flexibility would augment catch bonds by prolonging bond lifetimes at small forces but narrow the catch bond force range by left-shifting the force of catchslip transition toward a smaller value (Figure 6C). This prediction has been supported by a recent experiment in which the lectin-EGF interdomain hinge of L-selectin was made more flexible by eliminating an H-bond that stabilizes the hinge by a single residue mutation 8. Similarly, stiffening the interdomain hinge is predicted to diminish catch bonds by shortening bond lifetimes at low forces but widen the catch-bond force range by right-shifting the force of catch-slip transition toward a larger value. Fixing the interdomain hinge is predicted to eliminate the catchbond behavior.
Many proteins consist of multiple domains connected by interdomain hinges. The sliding-rebinding mechanism proposed herein may be applicable to other systems. For example, recent single molecule experiments have demonstrated that the actomyosin interaction exhibited catch-slip transitional bonds 13. The globular motor domain of the myosin head is connected to an α-helical extension of the heavy chain, or neck. Concomitant with phosphate release, rotation of the neck causes a 5.5-nm step “working stroke” and a 3–4 pN isometric force 13,40. Thus, it seems reasonable to assume that the neck may serve as a bistable hinge whose conformational change can generate force as well as be regulated by force. Consistent with this consideration, the sliding-rebinding model can readily fit the published catchslip bond data of the actomyosin interaction. However, mutations in the neck region and on the binding interface are required to rigorously test the sliding-rebinding mechanism, as the same data can be equally well fitted by other models 13.
Interactions between bacteria adhesin FimH and mannose ligands have also been reported to exhibit catchslip bonds 11,12. The mannose-binding lectin domain of FimH is connected to the pilin domain via a linker. SMD simulations based on an unliganded lectin domain crystal structure showed that pulling on the mannose binding site in SMD simulations induced linker extension 11,12. Mutations to weaken the linker were found to enhance mannose binding. A recently published cocrystal structure of FimH containing both the lectin and pilin domains liganded with mannose reveals an interdomain angle similar to that of the closed-angle selectins 41. It seems reasonable to predict that pulling on the mannose would extend the linker, open the lectin-pilin angle, and rotate the lectin domain. In the cocrystal structure, the mannose sugar docks into a pocket on one end of the lectin opposite to the lectin-pilin hinge, although this bent angle may be influenced by a chaperone protein included in the structure 41. Interestingly, two loops from the lectin surface (Tyr-48–Ile-52 and Asn-135–Asp-140) are seen just outside the pocket but do not make contact with the mannose, although they may interact with structures to which the mannose sugar may attach. However, rotation of the lectin domain may provide opportunities for these loops to form new interactions with the mannose as it slides out from the binding pocket. These observations suggest that a sliding-rebinding mechanism may also operate in the FimH-mannose interaction to elicit catch bonds.
We should emphasize that the sliding-rebinding mechanism is only one of many possible mechanisms for catch bonds. For example, another possible mechanism may be force induced-fit of the binding interface. Multiple mechanisms may cooperate to produce catch bonds in a single system.
We thank P. Mehta and R. P. McEver for sharing their unpublished data of the L-selectin crystal structure, M. Long and S. Lü for sharing their version of sugar force field, and R. P. McEver and S. C. Harvey for helpful discussion. The computational resources for MD simulations were provided by the Interactive High Performance Computing Laboratory of the College of Computing and by the High Performance Computing Centre of the Office of Information Technology, Georgia Institute of Technology.
This work was supported by National Institutes of Health grant AI44902.