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基于结构的药物发现中的决策制定:对接结果的可视化检查。

Decision Making in Structure-Based Drug Discovery: Visual Inspection of Docking Results.

机构信息

Computational Pharmacy, Department of Pharmaceutical Sciences, University of Basel, Klingelbergstrasse 61, 4056 Basel, Switzerland.

出版信息

J Med Chem. 2021 Mar 11;64(5):2489-2500. doi: 10.1021/acs.jmedchem.0c02227. Epub 2021 Feb 22.

Abstract

Molecular docking is a computational method widely used in drug discovery. Due to the inherent inaccuracies of molecular docking, visual inspection of binding modes is a crucial routine in the decision making process of computational medicinal chemists. Despite its apparent importance for medicinal chemistry projects, guidelines for the visual docking pose assessment have been hardly discussed in the literature. Here, we review the medicinal chemistry literature with the aim of identifying consistent principles for visual inspection, highlighting cases of its successful application, and discussing its limitations. In this context, we conducted a survey reaching experts in both academia and the pharmaceutical industry, which also included a challenge to distinguish native from incorrect poses. We were able to collect 93 expert opinions that offer valuable insights into visually supported decision-making processes. This perspective shall motivate discussions among experienced computational medicinal chemists and guide young scientists new to the field to stratify their compounds.

摘要

分子对接是一种广泛应用于药物发现的计算方法。由于分子对接固有的不准确性,因此在计算药物化学家的决策过程中,对结合模式进行可视化检查是至关重要的常规操作。尽管它对药物化学项目显然很重要,但在文献中几乎没有讨论过目视对接构象评估的指南。在这里,我们回顾了药物化学文献,旨在确定目视检查的一致原则,强调成功应用的案例,并讨论其局限性。在此背景下,我们进行了一项调查,以联系学术界和制药行业的专家,其中还包括一项区分天然构象和错误构象的挑战。我们能够收集到 93 位专家的意见,这些意见为有针对性的决策过程提供了有价值的见解。本文的观点将激发有经验的计算药物化学家之间的讨论,并指导刚涉足该领域的年轻科学家对化合物进行分层。

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