Yang Ziyi, Shi Shaohua, Fu Li, Lu Aiping, Hou Tingjun, Cao Dongsheng
Xiangya School of Pharmaceutical Sciences, Central South University, Changsha 410013, Hunan, P.R. China.
School of Chinese Medicine, Hong Kong Baptist University, Hong Kong SAR 999077, P.R. China.
J Med Chem. 2023 Apr 13;66(7):4361-4377. doi: 10.1021/acs.jmedchem.2c01787. Epub 2023 Apr 4.
Matched molecular pair analysis (MMPA) is a tool to extract knowledge of medicinal chemistry from existing experimental data, and it relates changes in activities or properties to specific structural changes. More recently, MMPA has also been applied in multi-objective optimization and de novo drug design. Here, we discuss the concept, techniques, and case studies of MMPA, which provide an overview of the current development in the field of MMPA. This Perspective also summarizes up-to-date MMPA applications and highlights the successes and opportunities for further MMPA advances.
匹配分子对分析(MMPA)是一种从现有实验数据中提取药物化学知识的工具,它将活性或性质的变化与特定的结构变化联系起来。最近,MMPA也已应用于多目标优化和从头药物设计。在此,我们讨论MMPA的概念、技术和案例研究,这些内容概述了MMPA领域的当前发展。本观点还总结了MMPA的最新应用,并突出了MMPA进一步发展的成功之处和机遇。