Aliagas Ignacio, Berger Raphaëlle, Goldberg Kristin, Nishimura Rachel T, Reilly John, Richardson Paul, Richter Daniel, Sherer Edward C, Sparling Brian A, Bryan Marian C
Genentech, Inc. , 1 DNA Way, South San Francisco, California 94080, United States.
MRL, Merck & Co., Inc. , 2015 Galloping Hill Road, Kenilworth, New Jersey 07033, United States.
J Med Chem. 2017 Jul 27;60(14):5955-5968. doi: 10.1021/acs.jmedchem.6b01837. Epub 2017 Apr 12.
With the development of ever-expanding synthetic methodologies, a medicinal chemist's toolkit continues to swell. However, with finite time and resources as well as a growing understanding of our field's environment impact, it is critical to refine what can be made to what should be made. This review seeks to highlight multiple cheminformatic approaches in drug discovery that can influence and triage design and execution impacting the likelihood of rapidly generating high-value molecules in a more sustainable manner. This strategy gives chemists the tools to design and refine vast libraries, stress "druglikeness", and rapidly identify SAR trends. Project success, i.e., identification of a clinical candidate, is then reached faster with fewer molecules with the farther-reaching ramification of using fewer resources and generating less waste, thereby helping "green" our field.
随着合成方法的不断发展,药物化学家的工具库持续扩充。然而,鉴于时间和资源有限,以及对本领域环境影响的认识不断加深,优化可制造的化合物与应制造的化合物至关重要。本综述旨在突出药物发现中的多种化学信息学方法,这些方法可影响并筛选设计与执行过程,从而更可持续地提高快速生成高价值分子的可能性。此策略为化学家提供了设计和优化大量化合物库的工具,强调“类药性质”,并快速识别构效关系趋势。如此一来,能以更少的分子更快地实现项目成功,即确定临床候选药物,进而减少资源使用和废弃物产生,对本领域的“绿色化”起到推动作用。