Ruihan Hou, Shuanglong Ren, Rong Wang, Bartosz Różycki, Jinglei Hu
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引用次数: 0
Abstract
Adhesion of biological cells is essential for various processes, including tissue formation, immune responses, and signaling. It involves multiple length scales, ranging from nanometers to micrometers, which are characteristic of (a) the intercellular receptor-ligand binding that mediates the cell adhesion, (b) the spatial distribution of the receptor and ligand proteins in the membranes of adhering cells, (c) adhesion-induced deformations and thermal undulations of the membranes, (d) the overall size of the interface between adhering cells. Therefore, computer simulations of cell membrane adhesion require multiscale modeling and suitable approximations that capture the essential physics of the system under study. Here, we introduce such a multiscale approach to study membrane adhesion mediated by the CD47-SIRPα binding, which is an immunologically relevant process. The synergetic use of coarse-grained molecular dynamics simulations and mesoscale kinetic Monte Carlo simulations allows us to explore both equilibrium properties and dynamical behavior of adhering membranes on the relevant length scales between 1 nm and 1 μm on time scales ranging from 0.1 ns all the way up to about 20 s. The multiscale simulations not only reproduce available experimental data but also give quantitative predictions on binding-induced conformational changes of SIRPα and membrane-mediated cooperativity of the CD47-SIRPα binding as well as fluctuation-induced interactions between the CD47-SIRPα complexes. Our approach is applicable to various membrane proteins and provides invaluable data for comparison with experimental findings.
期刊介绍:
The Journal of Chemical Theory and Computation invites new and original contributions with the understanding that, if accepted, they will not be published elsewhere. Papers reporting new theories, methodology, and/or important applications in quantum electronic structure, molecular dynamics, and statistical mechanics are appropriate for submission to this Journal. Specific topics include advances in or applications of ab initio quantum mechanics, density functional theory, design and properties of new materials, surface science, Monte Carlo simulations, solvation models, QM/MM calculations, biomolecular structure prediction, and molecular dynamics in the broadest sense including gas-phase dynamics, ab initio dynamics, biomolecular dynamics, and protein folding. The Journal does not consider papers that are straightforward applications of known methods including DFT and molecular dynamics. The Journal favors submissions that include advances in theory or methodology with applications to compelling problems.