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使用构象集合进行柔性配体对接。

Flexible ligand docking using conformational ensembles.

作者信息

Lorber D M, Shoichet B K

机构信息

Department of Molecular Pharmacology and Biological Chemistry, Northwestern University Medical School, Chicago, Illinois 60611-3008, USA.

出版信息

Protein Sci. 1998 Apr;7(4):938-50. doi: 10.1002/pro.5560070411.

Abstract

Molecular docking algorithms suggest possible structures for molecular complexes. They are used to model biological function and to discover potential ligands. A present challenge for docking algorithms is the treatment of molecular flexibility. Here, the rigid body program, DOCK, is modified to allow it to rapidly fit multiple conformations of ligands. Conformations of a given molecule are pre-calculated in the same frame of reference, so that each conformer shares a common rigid fragment with all other conformations. The ligand conformers are then docked together, as an ensemble, into a receptor binding site. This takes advantage of the redundancy present in differing conformers of the same molecule. The algorithm was tested using three organic ligand protein systems and two protein-protein systems. Both the bound and unbound conformations of the receptors were used. The ligand ensemble method found conformations that resembled those determined in X-ray crystal structures (RMS values typically less than 1.5 A). To test the method's usefulness for inhibitor discovery, multi-compound and multi-conformer databases were screened for compounds known to bind to dihydrofolate reductase and compounds known to bind to thymidylate synthase. In both cases, known inhibitors and substrates were identified in conformations resembling those observed experimentally. The ligand ensemble method was 100-fold faster than docking a single conformation at a time and was able to screen a database of over 34 million conformations from 117,000 molecules in one to four CPU days on a workstation.

摘要

分子对接算法可预测分子复合物的可能结构。这些算法用于模拟生物学功能并发现潜在配体。当前对接算法面临的一个挑战是处理分子柔性问题。在此,对刚体程序DOCK进行了修改,使其能够快速拟合配体的多个构象。给定分子的构象在同一参考系中预先计算,这样每个构象异构体与所有其他构象共享一个共同的刚性片段。然后将配体构象异构体作为一个整体对接至受体结合位点。这利用了同一分子不同构象中存在的冗余性。该算法使用三个有机配体-蛋白质系统和两个蛋白质-蛋白质系统进行了测试。受体的结合态和未结合态构象均被使用。配体整体方法找到的构象与X射线晶体结构中确定的构象相似(均方根偏差值通常小于1.5埃)。为测试该方法在发现抑制剂方面的有效性,对多化合物和多构象异构体数据库进行了筛选,以寻找已知与二氢叶酸还原酶结合的化合物以及已知与胸苷酸合成酶结合的化合物。在这两种情况下,均在与实验观察到的构象相似的构象中鉴定出了已知抑制剂和底物。配体整体方法比一次对接单个构象快100倍,并且能够在工作站上用一到四个CPU日筛选来自117,000个分子的超过3400万个构象的数据库。

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本文引用的文献

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Protein-protein recognition.蛋白质-蛋白质识别
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