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Orientation-dependent coarse-grained potentials derived by statistical analysis of molecular structural databases

机译:通过分子结构数据库的统计分析得出的取向相关的粗粒电势

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摘要

We present results obtained for anisotropic potentials for protein simulations extracted from the continually growing databases of protein structures.This work is based on the assumption that the detailed information on molecular conformations can be used to derive statistical (a.k.a.'knowledge-based') potentials that can describe on a coarse-grained level the side chain-side chain interactions in peptides and proteins.The complexity of inter-residue interactions is reflected in a high degree of orientational anisotropy for the twenty amino acids.By including in this coarse-grained interaction model the possibility of quantifying the backbone-backbone and backbone-side chain interactions,important improvements are obtained in characterizing the native protein states.Results obtained from tests that involve the identification of native-like conformations from large sets of decoy structures are presented.The Carlo simulations using the new coarse-grained water model show that the locations of the minima and maxima of the oxygen-oxygen radial distribution function correspond well with experimental measurements.
机译:我们提供了从不断增长的蛋白质结构数据库中提取的蛋白质模拟各向异性电势获得的结果。这项工作基于以下假设:分子构象的详细信息可用于推导统计电势(又称``基于知识'')可以在粗粒度水平上描述肽和蛋白质中的侧链-侧链相互作用。残基间相互作用的复杂性反映在二十种氨基酸的高度取向各向异性中,包括在这种粗颗粒相互作用中通过对量化骨干-骨干和骨干-侧链相互作用的可能性进行建模,在表征天然蛋白质状态方面获得了重要改进。提出了从涉及从大量诱饵结构中鉴定天然样构象的测试中获得的结果。使用新的粗粒水模型进行的Carlo模拟表明,该位置氧-氧径向分布函数的最小值和最大值的ns与实验测量值非常吻合。

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