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基于模板建模与 UNRES 力场相结合预测蛋白质结构。

Prediction of Protein Structure by Template-Based Modeling Combined with the UNRES Force Field.

机构信息

†Faculty of Chemistry, University of Gdańsk, Wita Stwosza 63, 80-308 Gdańsk, Poland.

出版信息

J Chem Inf Model. 2015 Jun 22;55(6):1271-81. doi: 10.1021/acs.jcim.5b00117. Epub 2015 May 22.

Abstract

A new approach to the prediction of protein structures that uses distance and backbone virtual-bond dihedral angle restraints derived from template-based models and simulations with the united residue (UNRES) force field is proposed. The approach combines the accuracy and reliability of template-based methods for the segments of the target sequence with high similarity to those having known structures with the ability of UNRES to pack the domains correctly. Multiplexed replica-exchange molecular dynamics with restraints derived from template-based models of a given target, in which each restraint is weighted according to the accuracy of the prediction of the corresponding section of the molecule, is used to search the conformational space, and the weighted histogram analysis method and cluster analysis are applied to determine the families of the most probable conformations, from which candidate predictions are selected. To test the capability of the method to recover template-based models from restraints, five single-domain proteins with structures that have been well-predicted by template-based methods were used; it was found that the resulting structures were of the same quality as the best of the original models. To assess whether the new approach can improve template-based predictions with incorrectly predicted domain packing, four such targets were selected from the CASP10 targets; for three of them the new approach resulted in significantly better predictions compared with the original template-based models. The new approach can be used to predict the structures of proteins for which good templates can be found for sections of the sequence or an overall good template can be found for the entire sequence but the prediction quality is remarkably weaker in putative domain-linker regions.

摘要

提出了一种新的蛋白质结构预测方法,该方法使用基于模板的模型和使用统一残基(UNRES)力场的模拟得出的距离和骨架虚拟键二面角约束。该方法将具有已知结构的模板序列与 UNRES 正确包装结构域的能力相结合,从而提高了预测准确性和可靠性。采用基于模板的模型对给定目标进行多路置换交换分子动力学限制,其中每个限制都根据相应分子部分的预测精度进行加权,以搜索构象空间,并应用加权直方图分析方法和聚类分析来确定最可能构象的家族,从这些家族中选择候选预测。为了测试该方法从限制中恢复基于模板的模型的能力,使用了五个结构已经被基于模板的方法很好地预测的单域蛋白质;结果表明,得到的结构与原始模型中的最佳结构具有相同的质量。为了评估新方法是否可以改进基于模板的预测,其中存在不正确预测的结构域包装,从 CASP10 目标中选择了四个这样的目标;对于其中三个目标,新方法的预测结果明显优于原始基于模板的模型。新方法可用于预测蛋白质结构,对于这些蛋白质结构,序列的某些部分可以找到良好的模板,或者整个序列可以找到整体良好的模板,但在假定的结构域连接区域的预测质量显著较弱。

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