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Multiscale method for modeling binding phenomena involving large objects: application to kinesin motor domains motion along microtubules

机译:用于建模涉及大型物体的绑定现象的多尺度方法:应用于Kinesin Motor域沿着微管的运动

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Many biological phenomena involve the binding of proteins to a large object. Because the electrostatic forces that guide binding act over large distances, truncating the size of the system to facilitate computational modeling frequently yields inaccurate results. Our multiscale approach implements a computational focusing method that permits computation of large systems without truncating the electrostatic potential and achieves the high resolution required for modeling macromolecular interactions, all while keeping the computational time reasonable. We tested our approach on the motility of various kinesin motor domains. We found that electrostatics help guide kinesins as they walk: N-kinesins towards the plus-end, and C-kinesins towards the minus-end of microtubules. Our methodology enables computation in similar, large systems including protein binding to DNA, viruses, and membranes.
机译:许多生物学现象涉及蛋白质与大物体的结合。因为引导粘合作用在大距离上的静电力,截断系统的尺寸以促进计算建模经常产生不准确的结果。我们的多尺度方法实现了一种计算聚焦方法,允许计算大型系统而不截断静电势并实现建模大分子相互作用所需的高分辨率,同时保持计算时间合理。我们测试了我们对各种Kinesin Motor域的动机的方法。我们发现静电有助于指导Kinesins,因为它们走路:n-kinesins朝向正端,C-kinesins朝向微管的负端。我们的方法能够在包括与DNA,病毒和膜的蛋白质结合的类似大型系统中的计算。

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