| Literature DB >> 26878596 |
Bernd Kuhn1, Wolfgang Guba1, Jérôme Hert1, David Banner1, Caterina Bissantz1, Simona Ceccarelli1, Wolfgang Haap1, Matthias Körner1, Andreas Kuglstatter1, Christian Lerner1, Patrizio Mattei1, Werner Neidhart1, Emmanuel Pinard1, Markus G Rudolph1, Tanja Schulz-Gasch1, Thomas Woltering1, Martin Stahl1.
Abstract
We present a series of small molecule drug discovery case studies where computational methods were prospectively employed to impact Roche research projects, with the aim of highlighting those methods that provide real added value. Our brief accounts encompass a broad range of methods and techniques applied to a variety of enzymes and receptors. Most of these are based on judicious application of knowledge about molecular conformations and interactions: filling of lipophilic pockets to gain affinity or selectivity, addition of polar substituents, scaffold hopping, transfer of SAR, conformation analysis, and molecular overlays. A case study of sequence-driven focused screening is presented to illustrate how appropriate preprocessing of information enables effective exploitation of prior knowledge. We conclude that qualitative statements enabling chemists to focus on promising regions of chemical space are often more impactful than quantitative prediction.Entities:
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Year: 2016 PMID: 26878596 DOI: 10.1021/acs.jmedchem.5b01875
Source DB: PubMed Journal: J Med Chem ISSN: 0022-2623 Impact factor: 7.446