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Energy Matrix of Structurally Important Side-Chain/ Side-Chain Interactions in Proteins

机译:蛋白质中结构上重要的侧链/侧链相互作用的能量矩阵

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The interactions between amino acid side chains in proteins are generally considered to be the most important stabilizing factor controlling the precise arrangement of the polypeptide chain into a well-defined spatial structure. We used the RI-DFT-D method to calculate the full 20 x 20 matrix of interaction energies between all pairs of amino acid side chains. For each pair, we used a representative 3D conformation extracted from an analysis of known protein structures from Protein Data Bank (PDB). The representative comes from the largest cluster of relative orientations of the two side chains. We find that all of the calculated interaction energies between selected pairs of amino acids are attractive in the gas phase with the exception of side chain pairs having the same total charge. We compared these data with those calculated by the parm03 and OPLS-AA/L force fields to investigate the reliability of simple methods in modeling biomolecules and their behavior. The force fields yield good overall interaction energies for our set but have problems in evaluation of some particular interactions which could be of principal importance for protein stability. We then looked in detail at the 20 side chain interactions involving tryptophan. The histograms of interaction energies showed that the distributions of the interaction energies are neither normal nor Boltzmann-like and that our representative geometries correspond mostly to the minimum energy geometry which is rather poorly populated in the whole pairwise energy distribution. We concluded that cluster representatives obtained by the clusterization algorithm based on geometry criteria cannot be considered as a typical interaction for the whole side chain/side chain interaction distribution. They seem to epitomize the strongest interactions in a protein and are often functionally or structurally important.
机译:蛋白质中氨基酸侧链之间的相互作用通常被认为是最重要的稳定因子,它控制着多肽链精确地排列到一个明确定义的空间结构中。我们使用RI-DFT-D方法来计算所有氨基酸侧链对之间相互作用能的完整20 x 20矩阵。对于每对,我们使用从Protein Data Bank(PDB)已知蛋白质结构的分析中提取的代表性3D构象。代表来自两个侧链相对取向的最大簇。我们发现,所选氨基酸对之间的所有计算相互作用能在气相中都具有吸引力,除了侧链对具有相同的总电荷外。我们将这些数据与parm03和OPLS-AA / L力场计算得出的数据进行了比较,以研究简单方法在建模生物分子及其行为方面的可靠性。力场对于我们的集合产生了良好的整体交互作用能量,但是在评估某些特定的交互作用方面存在问题,这可能对蛋白质稳定性至关重要。然后,我们详细研究了涉及色氨酸的20个侧链相互作用。相互作用能的直方图表明,相互作用能的分布既不是正态也不是玻耳兹曼样的,我们的代表性几何形状主要对应于最小能量几何形状,该几何形状在整个成对能量分布中分布较差。我们得出的结论是,通过基于几何准则的聚类算法获得的聚类代表不能被视为整个侧链/侧链相互作用分布的典型相互作用。它们似乎是蛋白质中最强相互作用的缩影,通常在功能或结构上都很重要。

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