Practical High-Throughput Experimentation for Chemists 论文
2017ACS Medicinal Chemistry Letters引用 384
Innovative Microfluidic and Catalytic Techniques InnovationComputational Drug Discovery MethodsMachine Learning in Materials Science
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.