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罗塞塔配体:具有全侧链灵活性的蛋白质-小分子对接

ROSETTALIGAND: protein-small molecule docking with full side-chain flexibility.

作者信息

Meiler Jens, Baker David

机构信息

Vanderbilt University, Department of Chemistry, Center for Structural Biology, Nashville, TN 37235-8725, USA.

出版信息

Proteins. 2006 Nov 15;65(3):538-48. doi: 10.1002/prot.21086.

DOI:10.1002/prot.21086
PMID:16972285
Abstract

Protein-small molecule docking algorithms provide a means to model the structure of protein-small molecule complexes in structural detail and play an important role in drug development. In recent years the necessity of simulating protein side-chain flexibility for an accurate prediction of the protein-small molecule interfaces has become apparent, and an increasing number of docking algorithms probe different approaches to include protein flexibility. Here we describe a new method for docking small molecules into protein binding sites employing a Monte Carlo minimization procedure in which the rigid body position and orientation of the small molecule and the protein side-chain conformations are optimized simultaneously. The energy function comprises van der Waals (VDW) interactions, an implicit solvation model, an explicit orientation hydrogen bonding potential, and an electrostatics model. In an evaluation of the scoring function the computed energy correlated with experimental small molecule binding energy with a correlation coefficient of 0.63 across a diverse set of 229 protein- small molecule complexes. The docking method produced lowest energy models with a root mean square deviation (RMSD) smaller than 2 A in 71 out of 100 protein-small molecule crystal structure complexes (self-docking). In cross-docking calculations in which both protein side-chain and small molecule internal degrees of freedom were varied the lowest energy predictions had RMSDs less than 2 A in 14 of 20 test cases.

摘要

蛋白质 - 小分子对接算法提供了一种从结构细节上模拟蛋白质 - 小分子复合物结构的方法,在药物开发中发挥着重要作用。近年来,为了准确预测蛋白质 - 小分子界面,模拟蛋白质侧链柔性的必要性变得显而易见,并且越来越多的对接算法探索了纳入蛋白质柔性的不同方法。在此,我们描述了一种将小分子对接至蛋白质结合位点的新方法,该方法采用蒙特卡罗最小化程序,其中小分子的刚体位置和取向以及蛋白质侧链构象被同时优化。能量函数包括范德华(VDW)相互作用、隐式溶剂化模型、显式取向氢键势和静电模型。在对评分函数的评估中,对于一组229个不同的蛋白质 - 小分子复合物,计算得到的能量与实验小分子结合能相关,相关系数为0.63。在100个蛋白质 - 小分子晶体结构复合物(自对接)中,该对接方法在71个复合物中产生了均方根偏差(RMSD)小于2 Å的最低能量模型。在蛋白质侧链和小分子内部自由度均变化的交叉对接计算中,20个测试案例中的14个案例中最低能量预测的RMSD小于2 Å。

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