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首页> 外文期刊>Journal of Computational Chemistry: Organic, Inorganic, Physical, Biological >New Energy Terms for Reduced Protein Models Implemented in an Off-Lattice Force Field
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New Energy Terms for Reduced Protein Models Implemented in an Off-Lattice Force Field

机译:在非晶格力场中实现的简化蛋白质模型的新能源术语

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摘要

Parameterization and test calculations of a reduced protein model with new energy terms are presented. The new energy terms retain the steric properties and the most significant degrees of freedom of protein side chains in an efficient way using only one to three virtual atoms per amino acid residue. The energy terms are implemented in a force field containing predefined secondary structure elements as constraints, electrostatic interaction terms, and a solvent-accessible surface area term to include the effect of solvation. In the force field the main-chain peptide units are modeled as electric dipoles, which have constant directions in #alpha#-helices and #beta#-sheets and variable conformation-dependent directions in loops. Protein secondary structures can be readily modeled using these dipole terms. Parameters of the force field were derived using a large set of experimental protein structures and refined by minimizing RMS errors between the experimental structures and structures generated using molecular dynamics simulations. The final average RMS error was 3.7 A for the main-chain virtual atoms (C_#alpha# atoms) and 4.2 A for all virtual atoms for a test set of 10 proteins with 58-294 amino acid residues. The force field was further tested with a substantially larger test set of 608 proteins yielding somewhat lower accuracy. The fold recognition capabilities of the force field were also evaluated using a set of 27,814 misfolded decoy structures.
机译:介绍了具有新能量项的还原蛋白模型的参数化和测试计算。新能源术语以每个氨基酸残基仅使用1-3个虚拟原子的有效方式,保留了蛋白质侧链的空间特性和最重要的自由度。能量项是在一个力场中实现的,该力场包含作为约束的预定义二级结构元素,静电相互作用项和溶剂可及的表面积项,以包括溶剂化作用。在力场中,主链肽单元被建模为电偶极子,在#alpha#-螺旋和#beta#-sheets中具有恒定的方向,在环中具有可变的依赖于构象的方向。使用这些偶极子项可以轻松地对蛋白质二级结构进行建模。力场的参数是使用大量的实验蛋白质结构导出的,并通过最小化实验结构与使用分子动力学模拟生成的结构之间的RMS误差进行精炼。对于10个具有58-294个氨基酸残基的蛋白质的测试集,最终平均RMS误差对于主链虚拟原子(C_#alpha#原子)为3.7 A,对于所有虚拟原子为4.2A。力场用608种蛋白质的较大测试集进行了进一步测试,从而产生了较低的准确度。还使用一组27,814个错折的诱饵结构评估了力场的褶皱识别能力。

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