Kuhn Bernd, Guba Wolfgang, Hert Jérôme, Banner David, Bissantz Caterina, Ceccarelli Simona, Haap Wolfgang, Körner Matthias, Kuglstatter Andreas, Lerner Christian, Mattei Patrizio, Neidhart Werner, Pinard Emmanuel, Rudolph Markus G, Schulz-Gasch Tanja, Woltering Thomas, Stahl Martin
Roche Pharmaceutical Research and Early Development, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd. , Grenzacherstrasse 124, 4070 Basel, Switzerland.
J Med Chem. 2016 May 12;59(9):4087-102. doi: 10.1021/acs.jmedchem.5b01875. Epub 2016 Feb 24.
We present a series of small molecule drug discovery case studies where computational methods were prospectively employed to impact Roche research projects, with the aim of highlighting those methods that provide real added value. Our brief accounts encompass a broad range of methods and techniques applied to a variety of enzymes and receptors. Most of these are based on judicious application of knowledge about molecular conformations and interactions: filling of lipophilic pockets to gain affinity or selectivity, addition of polar substituents, scaffold hopping, transfer of SAR, conformation analysis, and molecular overlays. A case study of sequence-driven focused screening is presented to illustrate how appropriate preprocessing of information enables effective exploitation of prior knowledge. We conclude that qualitative statements enabling chemists to focus on promising regions of chemical space are often more impactful than quantitative prediction.
我们展示了一系列小分子药物发现案例研究,其中前瞻性地运用了计算方法来影响罗氏的研究项目,目的是突出那些能提供真正附加值的方法。我们的简要介绍涵盖了应用于各种酶和受体的广泛方法和技术。其中大多数基于对分子构象和相互作用知识的明智应用:填充亲脂性口袋以获得亲和力或选择性、添加极性取代基、骨架跃迁、SAR转移、构象分析和分子叠加。本文还介绍了一个序列驱动的聚焦筛选案例研究,以说明信息的适当预处理如何能够有效地利用先验知识。我们得出结论,使化学家能够专注于化学空间中前景广阔区域的定性陈述往往比定量预测更具影响力。