Backed by leading authorities, this is a professional guide to successful compound screening in pharmaceutical research and chemical biology, including the chemoinformatic tools needed for correct data evaluation. Chapter authors from leading pharmaceutical companies as well as from Harvard University discuss such factors as chemical genetics, binding, cell-based and biochemical assays, the efficient use of compound libraries and data mining using cell-based assay results. For both academics and professionals in the pharma and biotech industries working on small molecule screening.

научно-популярная литература

зарубежная образовательная литература

знания и навыки

High-Throughput Screening in Drug Discovery

Animal Models for Human Cancer. Discovery and Development of Novel Therapeutics

Fragment-based Drug Discovery. Lessons and Outlook

Pharmacokinetics and Metabolism in Drug Design

In vivo Models for Drug Discovery

Reactive Drug Metabolites

Scaffold Hopping in Medicinal Chemistry

Data Mining in Drug Discovery

Drug Metabolism Prediction