4.8 Article

De Novo Fragment Design for Drug Discovery and Chemical Biology

期刊

ANGEWANDTE CHEMIE-INTERNATIONAL EDITION
卷 54, 期 50, 页码 15079-15083

出版社

WILEY-V C H VERLAG GMBH
DOI: 10.1002/anie.201508055

关键词

chemical biology; computational chemistry; kinases; molecular design; target prediction

资金

  1. ETH Zurich
  2. OPO Foundation, Zurich, Switzerland

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Automated molecular de novo design led to the discovery of an innovative inhibitor of death-associated protein kinase 3 (DAPK3). An unprecedented crystal structure of the inactive DAPK3 homodimer shows the fragment-like hit bound to the ATP pocket. Target prediction software based on machine learning models correctly identified additional macromolecular targets of the computationally designed compound and the structurally related marketed drug azosemide. The study validates computational de novo design as a prime method for generating chemical probes and starting points for drug discovery.

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