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Drug Efficiency Indices for Improvement of Molecular Docking Scoring Functions

机译:改善分子对接评分功能的药物效率指标

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A dataset of protein-drug complexes with experimental binding energy and crystal structure were analyzed and the performance of different docking engines and scoring functions (as well as components of these) for predicting the free energy of binding and several ligand efficiency indices were compared. The aim was not to evaluate the best docking method, but to determine the effect of different efficiency indices on the experimental and predicted free energy. Some ligand efficiency indices, such as Delta G/W (Wiener index), Delta G/NoC (number of carbons), and Delta G/P (partition coefficient), improve the correlation between experimental and calculated values. This effect was shown to be valid across the different scoring functions and docking programs. It also removes the common bias of scoring functions in favor of larger ligands. For all scoring functions, the efficiency indices effectively normalize the free energy derived indices, to give values closer to experiment. Compound collection filtering can be done prior or after docking, using pharmacokinetic as well as pharmacodynamic profiles. Achieving these better correlations with experiment can improve the ability of docking scoring functions to predict active molecules in virtual screening.
机译:分析了具有实验结合能和晶体结构的蛋白质-药物复合物的数据集,并比较了用于预测结合自由能的不同对接引擎和评分功能(以及其中的成分)的性能,并比较了多个配体效率指数。目的不是评估最佳对接方法,而是确定不同效率指标对实验和预测的自由能的影响。一些配体效率指数,例如Delta G / W(维纳指数),Delta G / NoC(碳数)和Delta G / P(分配系数),改善了实验值与计算值之间的相关性。该效果在不同的评分功能和对接程序中均有效。它还消除了评分功能偏向较大配体的常见偏见。对于所有计分函数,效率指数有效地归一化了自由能派生的指数,以使值更接近实验。可以在对接之前或之后使用药代动力学和药效学特征进行化合物收集过滤。与实验实现这些更好的相关性可以提高对接评分功能预测虚拟筛选中活性分子的能力。

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