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cNMA: a framework of encounter complex-based normal mode analysis to model conformational changes in protein interactions

机译:cNMA:一个基于复合体的正态模式分析框架,用于建模蛋白质相互作用中的构象变化

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Motivation: It remains both a fundamental and practical challenge to understand and anticipate motions and conformational changes of proteins during their associations. Conventional normal mode analysis (NMA) based on anisotropic network model (ANM) addresses the challenge by generating normal modes reflecting intrinsic flexibility of proteins, which follows a conformational selection model for protein-protein interactions. But earlier studies have also found cases where conformational selection alone could not adequately explain conformational changes and other models have been proposed. Moreover, there is a pressing demand of constructing a much reduced but still relevant subset of protein conformational space to improve computational efficiency and accuracy in protein docking, especially for the difficult cases with significant conformational changes.
机译:动机:了解和预测蛋白质结合过程中的运动和构象变化仍然是一项基本和实际的挑战。基于各向异性网络模型(ANM)的常规正常模式分析(NMA)通过生成反映蛋白质固有灵活性的正常模式来应对挑战,该模式遵循蛋白质-蛋白质相互作用的构象选择模型。但是,较早的研究也发现仅构象选择不能充分解释构象变化的情况,因此提出了其他模型。此外,迫切需要构建大大减少但仍相关的蛋白质构象空间子集,以提高蛋白质对接的计算效率和准确性,尤其是对于具有显着构象变化的困难情况。

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