Abstract

Drug discovery is a highly complex and multidisciplinary process which goal is to identify new antitumoral drugs. The screening attrition rate in the current drug discovery protocols suggests that one marketable drug emerges from approximately one million screened compounds. This leads to pressure to screen larger libraries in order to continue the pipeline and to the development of High Throughput Screening. HTS is only a name for specific developments in laboratory automation to collect a large amount of experimental data in a relatively short time. HTS can test hundreds of thousands of compounds per day, however, if fewer compounds could be tested without compromising the probability of success, the cost and time would be greatly reduced. To that end, new developments in large-scale cell biology and compound library design in silico have evolved to obtain data with higher predictability of clinical efficacy.

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