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Protein–Protein Docking with Large-Scale Backbone Flexibility Using Coarse-Grained Monte-Carlo Simulations

机译:蛋白质 - 蛋白质对接使用粗粒蒙特卡罗模拟具有大规模骨架的灵活性

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摘要

Most of the protein–protein docking methods treat proteins as almost rigid objects. Only the side-chains flexibility is usually taken into account. The few approaches enabling docking with a flexible backbone typically work in two steps, in which the search for protein–protein orientations and structure flexibility are simulated separately. In this work, we propose a new straightforward approach for docking sampling. It consists of a single simulation step during which a protein undergoes large-scale backbone rearrangements, rotations, and translations. Simultaneously, the other protein exhibits small backbone fluctuations. Such extensive sampling was possible using the CABS coarse-grained protein model and Replica Exchange Monte Carlo dynamics at a reasonable computational cost. In our proof-of-concept simulations of 62 protein–protein complexes, we obtained acceptable quality models for a significant number of cases.
机译:大多数蛋白质蛋白质对接方法将蛋白质视为几乎刚性物体。通常只考虑侧链灵活性。使使用柔性骨架的少数方法通常有两个步骤,其中分别模拟蛋白质 - 蛋白取向和结构柔韧性的搜索。在这项工作中,我们提出了一种新的对接抽样的直接方法。它由单一模拟步骤组成,在此期间,蛋白质经历大规模的骨干重排,旋转和翻译。同时,其他蛋白质表现出小的骨干波动。使用驾驶室粗粒蛋白模型和复制品以合理的计算成本使用这种广泛的采样。在我们的概念验证模拟中,在62个蛋白质复合物的概念模拟中,我们获得了可接受的质量模型,以获得很多案例。

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