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.
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Michael Shevlin (2017) studied this question.
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