首页> 外文期刊>Journal of chemical theory and computation: JCTC >Mobile Block Hessian Approach with Adjoined Blocks: An Efficient Approach for the Calculation of Frequencies in Macromolecules
【24h】

Mobile Block Hessian Approach with Adjoined Blocks: An Efficient Approach for the Calculation of Frequencies in Macromolecules

机译:带有邻接块的移动块Hessian方法:一种计算高分子频率的有效方法

获取原文
获取原文并翻译 | 示例
       

摘要

In an earlier work, the authors developed a new method, the mobile block Hessian (MBH) approach, to accurately calculate vibrational modes for partially optimized molecular structures [J. Chem. Phys. 2007, 126 (22), 224102.]. It is based on the introduction of blocks, consisting of groups of atoms, that can move as rigid bodies. The internal geometry of the blocks need not correspond to an overall optimization state of the total molecular structure. The standard MBH approach considers free blocks with six degrees of freedom. In the extended MBH approach introduced herein, the blocks can be connected by one or two adjoining atoms, which further reduces the number of degrees of freedom. The new approach paves the way for the normal-mode analysis of biomolecules such as proteins. It rests on the hypothesis that low-frequency modes of proteins can be described as pure rigid-body motions of blocks of consecutive amino acid residues. The method is validated for a series of small molecules and further applied to alanine dipeptide as a prototype to describe vibrational interactions between two peptide units; to crambin, a small protein with 46 amino acid residues; and to ICE/caspase-1, which contains 518 amino acid residues.
机译:在较早的工作中,作者开发了一种新方法,即移动块Hessian(MBH)方法,可为部分优化的分子结构准确计算振动模式[J.化学物理2007,126(22),224102。]。它基于引入由原子组组成的块的作用,这些块可以作为刚体移动。嵌段的内部几何形状不必对应于总分子结构的总体优化状态。标准的MBH方法考虑具有六个自由度的自由块。在本文介绍的扩展的MBH方法中,这些嵌段可以通过一个或两个相邻的原子连接,这进一步减少了自由度的数量。新方法为蛋白质等生物分子的正常模式分析铺平了道路。它基于以下假设:蛋白质的低频模式可以描述为连续氨基酸残基嵌段的纯刚体运动。该方法已针对一系列小分子进行了验证,并进一步应用于丙氨酸二肽作为原型来描述两个肽单元之间的振动相互作用。 crambin,一种具有46个氨基酸残基的小蛋白质; ICE / caspase-1,其中包含518个氨基酸残基。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号