Abstract
Amide-bond equilibrium probability density, Peq = exp(-u) (u, local potential), and associated conformational entropy, Sk = -∫Peq (ln Peq) dω ─ln ∫dω, are derived for the Rho GTPase binding domain of Plexin-B1 (RBD) as monomer and dimer from 1 μs MD simulations. The objective is to elucidate the effect of dimerization on the dynamic structure of the RBD. Dispersed (peaked) Peq functions indicate "flexibility"("rigidity"the respective concepts are used below in this context). The L1 and L3 loops are throughout highly flexible, the L2 loop and the secondary structure elements are generally rigid, and the L4 loop is flexible in the monomer and rigid in the dimer. Overall, many residues are more flexible in the dimer. These features, and their implications, are discussed. Unexpectedly, we find that monomer unit 1 of the dimer (in short, d1) is unusually flexible, whereas monomer unit 2 (in short, d2) is as rigid as the RBD monomer. This is revealed due to their engagement in slow-to-intermediate conformational exchange detected previously by 15N relaxation experiments. Such motions occur with rates on the order of 103-104 s-1 hence, they cannot be completely sampled over the course of 1 μs simulation. However, the extent to which rigid d2 is affected is small enough to enable physically relevant analysis. The entropy difference between d2 and the monomer yields an entropic contribution of -7 ± 0.7 kJ/mol to the free energy of RBD dimerization. In previous work aimed at similar objectives we used 50-100 ns MD simulations. Those results and the present result differ considerably. In summary, bond-vector Peq functions derived directly from long MD simulations are useful descriptors of protein structural dynamics and provide accurate conformational entropy. Within the scope of slow conformational exchange, they can be useful, even in the presence of incomplete sampling.
Original language | English |
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Pages (from-to) | 6396-6407 |
Number of pages | 12 |
Journal | Journal of Physical Chemistry B |
Volume | 126 |
Issue number | 34 |
DOIs | |
State | Published - 1 Sep 2022 |
Bibliographical note
Funding Information:This work was supported by the Israel–U.S.A. Binational Science Foundation (Grant No. 2016097 to E.M. and J.H.F.) and the Israel Science Foundation (Grant No. 288/20 to E.M.). The work of M.B. for this project was supported by NIH Grants R01GM112491 and R01EY029169. M.Z. was supported by grants from the University of Padova (P-DiSC#09BIRD2020-UNIPD). The analyses of the trajectories have been carried out on the C3P (Computational Chemistry Community in Padua) HPC facility of the Department of Chemical Sciences of the University of Padua. The Anton supercomputer is supported by the Pittsburgh Supercomputing Center (PSC) through Grant R01GM116961 from the National Institutes of Health to M.B.
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© 2022 American Chemical Society.