化学空间
背景(考古学)
块(置换群论)
空格(标点符号)
计算机科学
班级(哲学)
选择(遗传算法)
药物发现
组合化学
化学
计算生物学
生物
数学
生物化学
人工智能
组合数学
古生物学
操作系统
作者
Patrick R. Fitzgerald,Anjali Dixit,Chris Zhang,David L. Mobley,Brian M. Paegel
标识
DOI:10.1021/acs.jcim.4c00232
摘要
DNA-encoded library technology grants access to nearly infinite opportunities to explore the chemical structure space for drug discovery. Successful navigation depends on the design and synthesis of libraries with appropriate physicochemical properties (PCPs) and structural diversity while aligning with practical considerations. To this end, we analyze combinatorial library design constraints including the number of chemistry cycles, bond construction strategies, and building block (BB) class selection in pursuit of ideal library designs. We compare two-cycle library designs (amino acid + carboxylic acid, primary amine + carboxylic acid) in the context of PCPs and chemical space coverage, given different BB selection strategies and constraints. We find that broad availability of amines and acids is essential for enabling the widest exploration of chemical space. Surprisingly, cost is not a driving factor, and virtually, the same chemical space can be explored with "budget" BBs.
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