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Improved Methods for Side Chain and Loop Predictions via the Protein Local Optimization Program:  Variable Dielectric Model for Implicitly Improving the Treatment of Polarization Effects.通过蛋白质局部优化程序改进侧链和环预测的方法:用于隐式改善极化效应处理的可变介电常数模型。
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Improving Docking Accuracy through Molecular Mechanics Generalized Born Optimization and Scoring.通过分子力学广义玻恩优化和评分提高对接精度。
J Chem Theory Comput. 2007 May;3(3):1106-19. doi: 10.1021/ct6003406.
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A Direct Comparison of the MM-GB/SA Scoring Procedure and Free-Energy Perturbation Calculations Using Carbonic Anhydrase as a Test Case: Strengths and Pitfalls of Each Approach.以碳酸酐酶为例对MM-GB/SA评分程序与自由能微扰计算进行直接比较:每种方法的优势与不足
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ACS Chem Neurosci. 2010 Jun 16;1(6):435-49. doi: 10.1021/cn100008c. Epub 2010 Mar 25.
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Predicting fragment binding poses using a combined MCSS MM-GBSA approach.使用组合 MCSS-MM-GBSA 方法预测片段结合构象。
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Contribution of explicit solvent effects to the binding affinity of small-molecule inhibitors in blood coagulation factor serine proteases.明确溶剂效应对小分子抑制剂在血液凝血因子丝氨酸蛋白酶中结合亲和力的贡献。
ChemMedChem. 2011 Jun 6;6(6):1049-66. doi: 10.1002/cmdc.201000533. Epub 2011 Apr 19.
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Assessing the performance of the MM/PBSA and MM/GBSA methods. 1. The accuracy of binding free energy calculations based on molecular dynamics simulations.评估 MM/PBSA 和 MM/GBSA 方法的性能。1. 基于分子动力学模拟的结合自由能计算的准确性。
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Addressing limitations with the MM-GB/SA scoring procedure using the WaterMap method and free energy perturbation calculations.利用 WaterMap 方法和自由能微扰计算来解决 MM-GB/SA 评分程序的局限性。
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9
Thermodynamic optimisation in drug discovery: a case study using carbonic anhydrase inhibitors.药物发现中的热力学优化:以碳酸酐酶抑制剂为例的案例研究
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Discovery of a novel class of phosphodiesterase 10A inhibitors and identification of clinical candidate 2-[4-(1-methyl-4-pyridin-4-yl-1H-pyrazol-3-yl)-phenoxymethyl]-quinoline (PF-2545920) for the treatment of schizophrenia.发现新型磷酸二酯酶 10A 抑制剂,并鉴定出用于治疗精神分裂症的临床候选药物 2-[4-(1-甲基-4-吡啶-4-基-1H-吡唑-3-基)-苯氧甲基]-喹啉(PF-2545920)。
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通过应用可变介电常数模型改进MM-GB/SA评分

Improving MM-GB/SA Scoring through the Application of the Variable Dielectric Model.

作者信息

Ravindranathan Krishna, Tirado-Rives Julian, Jorgensen William L, Guimarães Cristiano R W

机构信息

Department of Chemistry, Yale University, New Haven, Connecticut 06520, USA.

出版信息

J Chem Theory Comput. 2011 Dec 13;7(12):3859-3865. doi: 10.1021/ct200565u. Epub 2011 Nov 14.

DOI:10.1021/ct200565u
PMID:22606071
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3351111/
Abstract

A variable dielectric model based on residue types for better description of protein-ligand electrostatics in MM-GBSA scoring is reported. The variable dielectric approach provides better correlation with binding data and reduces the score dynamic range, typically observed in the standard MM-GB/SA method. The latter supports the view that exaggerated enthalpic separation between weak and potent compounds due to the lack of shielding effects in the model is greatly responsible for the wide scoring spread.

摘要

本文报道了一种基于残基类型的可变介电常数模型,用于在MM-GBSA评分中更好地描述蛋白质-配体静电作用。可变介电常数方法与结合数据具有更好的相关性,并减小了评分动态范围,这在标准MM-GB/SA方法中通常可以观察到。后者支持这样一种观点,即由于模型中缺乏屏蔽效应,导致弱化合物和强化合物之间焓分离过大,这是评分范围广泛的主要原因。