Quantifying biogenic bias in screening libraries
Open Access
- 31 May 2009
- journal article
- research article
- Published by Springer Science and Business Media LLC in Nature Chemical Biology
- Vol. 5 (7), 479-483
- https://doi.org/10.1038/nchembio.180
Abstract
In lead discovery, libraries of 106 molecules are screened for biological activity. Given the over 1060 drug-like molecules thought possible, such screens might never succeed. The fact that they do, even occasionally, implies a biased selection of library molecules. We have developed a method to quantify the bias in screening libraries toward biogenic molecules. With this approach, we consider what is missing from screening libraries and how they can be optimized.Keywords
This publication has 35 references indexed in Scilit:
- Scaffold Topologies. 2. Analysis of Chemical DatabasesJournal of Chemical Information and Modeling, 2008
- Drug—target networkNature Biotechnology, 2007
- Origin and evolution of high throughput screeningBritish Journal of Pharmacology, 2007
- Discovery and development of sorafenib: a multikinase inhibitor for treating cancerNature Reviews Drug Discovery, 2006
- Global mapping of pharmacological spaceNature Biotechnology, 2006
- The evolving role of natural products in drug discoveryNature Reviews Drug Discovery, 2005
- Comparison of topological descriptors for similarity-based virtual screening using multiple bioactive reference structuresOrganic & Biomolecular Chemistry, 2004
- High-Throughput Screening: Searching for Higher ProductivitySLAS Discovery, 2004
- KEGG: Kyoto Encyclopedia of Genes and GenomesNucleic Acids Research, 2000
- The Generation of a Unique Machine Description for Chemical Structures-A Technique Developed at Chemical Abstracts Service.Journal of Chemical Documentation, 1965