Chemistry, R&D Oncology , AstraZeneca , Waltham , Massachusetts 02451 , United States.
Chemistry, R&D Oncology , AstraZeneca , Cambridge CB4 0QA , United Kingdom.
J Med Chem. 2019 Nov 14;62(21):9418-9437. doi: 10.1021/acs.jmedchem.9b00716. Epub 2019 Aug 19.
The three-dimensional conformations adopted by a free ligand in solution impact bioactivity and physicochemical properties. Solution 1D NMR spectra inherently contain information on ligand conformational flexibility and three-dimensional shape, as well as the propensity of the free ligand to fully preorganize into the bioactive conformation. Herein we discuss some key learnings, distilled from our experience developing potent and selective synthetic macrocyclic inhibitors, including Mcl-1 clinical candidate AZD5991. Case studies have been selected from recent oncology research projects, demonstrating how 1D NMR conformational signatures can complement X-ray protein-ligand structural information to guide medicinal chemistry optimization. Learning to extract free ligand conformational information from routinely available 1D NMR signatures has proven to be fast enough to guide medicinal chemistry decisions within design cycles for compound optimization.
游离配体在溶液中采取的三维构象会影响其生物活性和物理化学性质。溶液 1D NMR 谱图本质上包含了关于配体构象灵活性和三维形状的信息,以及游离配体充分预组织成生物活性构象的趋势。本文讨论了一些关键的经验教训,这些经验教训来自于我们开发有效和选择性的合成大环抑制剂的经验,包括 Mcl-1 临床候选药物 AZD5991。案例研究选自最近的肿瘤学研究项目,展示了 1D NMR 构象特征如何补充 X 射线蛋白-配体结构信息,以指导药物化学优化。从常规可用的 1D NMR 特征中提取游离配体构象信息已被证明足够快,可以在化合物优化的设计周期内指导药物化学决策。