We have been working with the experimental group of Dr. Weisel (University of Pennsylvania, School of Medicine) to resolve the structural details and the mechanism of force-induced unfolding of fibrinogen monomer \(Fb\) and oligomers \((Fb)_n\) (see Figure). Although the physical properties of fibrin fibers, the major structural component of a blood clot, which control their function in hemostasis and wound healing, are have been fully characterized, the underlying mechanism of their force-driven elongation is not understood. We carry out computational studies of the mechanical properties of fibrin protofibrils on GPUs using the SOP-GPU package, in order to characterize the micromechanics of fibrin at the monomer, oligomer, and fiber level. We use GPU-based computations to speedup the molecular simulations. For example, it takes ~15 days to obtain one trajectory of the mechanical unfolding for the oligomer \((Fb)_3\) of three \(Fb\) repeats on a GPU GeForce GTX 480, using the SOP model implemented on a GPU (SOP-GPU). For comparison, it would take ~12 years of the wall-clock time to complete a single simulation run on a single CPU core of comparable level of technology, using the same SOP model.
The results were published in Structure (2010).
Figure: Fibrinogen structure. Left panel: Crystal structure of fibrinogen. The central nodule, formed by the \(N\)-terminal portions of all six chains, is connected to the distal \(\beta\)- and \(\gamma\)-nodules formed by the \(C\)-terminal portions of the \(B\beta\) and \(\gamma\) chains, respectively, by triple-helical coiled-coils, each formed by the middle portions of the \(A\alpha\), \(B\beta\) and \(\gamma\) chains. Right panel: Same molecule as on top but with those regions that are not identified in the crystal structure, the interacting \(\alpha C\)-domains attached to the molecule with the flexible \(\alpha C\)-connectors, and the \(N\)-terminal portions of the \(B\beta\) chains forming the functional \(B\beta N\)-domains. The funnel-shaped domain in the center contains fibrinopeptides A (FpA) and fibrinopeptides B (FpB); the \(\gamma N\)-domain is located on the opposite side of the molecule (not shown). The individual domains of the D regions, i.e., A-domain, B-domain, and P-domain, are indicated only in one subunit of the molecule. The site “a” (hole “a”) and site “b” (hole “b”) in the P-domain of the \(\gamma\)- and \(\beta\)-nodules, respectively, are indicated by asterisks. (taken from J.Thromb.Haemost 7: 355 (2009)).
Large-size protein systems unfold through the gradual detachment of two or several subdomain and/or through the simultaneous or sequential unraveling of the various secondary structure elements. This allows us to utilize coarse-grained descriptions of biomolecules to describe the global mechano-chemical unfolding reactions. We utilize the SOP-GPU package to carry out Langevin simulations of fibrinogen monomer \(Fb\) (~2,000 residues) and dimer \((Fb)_2\) (~4,000 residues) using the experimental force-ramp conditions, \(f(t)=r_ft\), where \(r_f=\kappa \nu_f\) is the force-loading rate. We use the experimentally relevant values of the pulling speed \(\nu_f=1\) \(\mu m/s\) and the cantilever spring constant \(\kappa=35\) pN/nm. To obtain a single trajectory of unfolding for \(Fb\), the system dynamics should be propagated numerically over as many as \(5 \times 10^9\) iterations (0.2 seconds of real time). To fully utilize the GPU computational resources, we employ the multiple-runs-per-GPU approach, which allows to run many trajectories for the system under the study concurrently on a single GPU. It takes ~17 day to generate 5 trajectories on a GPU GeForce GTX 295 (NVIDIA). For comparison, it would take ~18 months of wall-clock time to complete a single simulation run on a CPU of a similar level of technology. It turns out that the unfolding micromechanics and the corresponding dynamic signatures in the force spectra change dramatically with increased pulling speed (\(\nu_f=2.5\) and \(25\) \(\mu m/s\)).