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CONFORMATIONAL ENTROPY OF BIOMOLECULES: BEYOND THE QUASI-HARMONIC APPROXIMATION

机译:生物分子的构象熵:超出准谐波近似

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A method is presented to calculate thermodynamic conformational entropy of a biomolcculc from molecular dynamics simulation. Principal component analysis (the quasi-harmonic approximation) provides the first decomposition of the correlations in particle motion. Entropy is calculated analytically as a sum of independent quantum harmonic oscillators. The largest classical eigenvalues tend to be more anharmonic and show statistical dependence beyond correlation. Their entropy is corrected using a numerical method from information theory: the k-nearest neighbor algorithm. The method calculates a tighter upper limit to entropy than the quasi-harmonic approximation and is likewise applicable to large solutes, such as peptides and proteins. Together with an estimate of solute enthalpy and solvent free energy from methods such as MMPB/SA, it can be used to calculate the free energy of protein folding as well as receptor-ligand binding constants.
机译:提出了一种方法来计算来自分子动力学模拟的生物凝乳的热力学构象熵。主成分分析(准谐波近似)提供了颗粒运动中的相关性的第一分解。熵是分析地计算的,作为独立量子谐波振荡器的总和。最大的经典特征值倾向于更加无谐波,并显示超越相关性的统计依赖性。使用来自信息理论的数值方法来校正它们的熵:K-最近邻算法。该方法计算比准谐波近似的更紧密的上限,同样适用于大溶质,例如肽和蛋白质。与来自MMPB / SA的方法的溶质焓和溶剂自由能的估计,它可用于计算蛋白质折叠以及受体 - 配体结合常数的自由能。

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