吞吐量
计算机科学
药物发现
钥匙(锁)
候选药物
高通量筛选
生化工程
数据科学
药品
生物信息学
工程类
电信
计算机安全
无线
生物
药理学
标识
DOI:10.1021/acsmedchemlett.7b00165
摘要
Large arrays of hypothesis-driven, rationally designed experiments are powerful tools for solving complex chemical problems. Conceptual and practical aspects of chemical high-throughput experimentation are discussed. A case study in the application of high-throughput experimentation to a key synthetic step in a drug discovery program and subsequent optimization for the first large scale synthesis of a drug candidate is exemplified.
科研通智能强力驱动
Strongly Powered by AbleSci AI