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

机译:cNMA:一个基于复合物的正常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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摘要

>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.>Method and results: With both conformational selection and induced fit models considered, we extend ANM to include concurrent but differentiated intra- and inter-molecular interactions and develop an encounter complex-based NMA (cNMA) framework. Theoretical analysis and empirical results over a large data set of significant conformational changes indicate that cNMA is capable of generating conformational vectors considerably better at approximating conformational changes with contributions from both intrinsic flexibility and inter-molecular interactions than conventional NMA only considering intrinsic flexibility does. The empirical results also indicate that a straightforward application of conventional NMA to an encounter complex often does not improve upon NMA for an individual protein under study and intra- and inter-molecular interactions need to be differentiated properly. Moreover, in addition to induced motions of a protein under study, the induced motions of its binding partner and the coupling between the two sets of protein motions present in a near-native encounter complex lead to the improved performance. A study to isolate and assess the sole contribution of intermolecular interactions toward improvements against conventional NMA further validates the additional benefit from induced-fit effects. Taken together, these results provide new insights into molecular mechanisms underlying protein interactions and new tools for dimensionality reduction for flexible protein docking.>Availability and implementation: Source codes are available upon request.>Contact:
机译:>动机:理解和预测蛋白质在缔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柔韧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,迫切需要构建一个大大减少但仍然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,特别是对于构象变化很大的困难情况。>方法和结果:结合构象选择和诱导拟合模型,我们将ANM扩展为包括并发但有区别的分子内和分子间相互作用,并开发了基于遭遇复合物的NMA(cNMA)框架。对大量具有显着构象变化的数据集进行的理论分析和经验结果表明,与仅考虑内在柔性的传统NMA相比,cNMA在固有构象和分子间相互作用的贡献下,能够更好地近似构象变化,从而生成构象载体。实验结果还表明,将常规NMA直接应用于相遇复合物通常不会改善研究中单个蛋白质的NMA,并且需要正确区分分子内和分子间的相互作用。此外,除了研究中的蛋白质的诱导运动外,其结合配偶体的诱导运动以及近天然相遇复合物中存在的两组蛋白质运动之间的偶联还导致性能提高。一项隔离和评估分子间相互作用对改进传统NMA的唯一贡献的研究进一步验证了诱导拟合效应的额外好处。综上所述,这些结果提供了对蛋白质相互作用的分子机制的新见解,并为灵活的蛋白质对接提供了减少维数的新工具。>可用性和实现方式:可根据要求提供源代码。强>

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