Jones G, Willett P, Glen R C
Department of Information Studies, University of Sheffield, U.K.
J Mol Biol. 1995 Jan 6;245(1):43-53. doi: 10.1016/s0022-2836(95)80037-9.
Understanding the principles whereby macromolecular biological receptors can recognise small molecule substrates or inhibitors is the subject of a major effort. This is of paramount importance in rational drug design where the receptor structure is known (the "docking" problem). Current theoretical approaches utilise models of the steric and electrostatic interaction of bound ligands and recently conformational flexibility has been incorporated. We report results based on software using a genetic algorithm that uses an evolutionary strategy in exploring the full conformational flexibility of the ligand with partial flexibility of the protein, and which satisfies the fundamental requirement that the ligand must displace loosely bound water on binding. Results are reported on five test systems showing excellent agreement with experimental data. The design of the algorithm offers insight into the molecular recognition mechanism.
理解大分子生物受体识别小分子底物或抑制剂的原理是一项重要的研究课题。在已知受体结构的合理药物设计(即“对接”问题)中,这一点至关重要。当前的理论方法利用结合配体的空间和静电相互作用模型,并且最近已纳入构象灵活性。我们报告了基于使用遗传算法的软件的结果,该算法采用进化策略来探索配体的完全构象灵活性以及蛋白质的部分灵活性,并且满足配体在结合时必须取代松散结合水这一基本要求。报告了在五个测试系统上的结果,与实验数据显示出极好的一致性。该算法的设计为分子识别机制提供了深入见解。