Literature DB >> 16797220

How good is your screening library?

John J Irwin1.   

Abstract

Efficient library design is an ongoing challenge for investigators seeking novel ligands for proteins, whether for drug discovery or chemical biology. Strategies that add neglected chemistry or exclude unproductive compounds are two dominant recent themes, as is a growing awareness of molecular complexity and its implications. The choice of how complex molecules in screening libraries should be often amounts to how big they should be. Small, simple molecules have lower affinities and must be screened at high concentration, but they will also have higher hit rates. Larger compounds, on the other hand, will often more closely resemble final drugs, but because they are more highly functionalized and specific, they will have much lower hit rates. The best general-purpose screening libraries may well be those of intermediate complexity that are free of artifact-causing nuisance compounds.

Mesh:

Year:  2006        PMID: 16797220     DOI: 10.1016/j.cbpa.2006.06.003

Source DB:  PubMed          Journal:  Curr Opin Chem Biol        ISSN: 1367-5931            Impact factor:   8.822


  4 in total

1.  Design of a high fragment efficiency library by molecular graph theory.

Authors:  Jennifer Venhorst; Sara Núñez; Chris G Kruse
Journal:  ACS Med Chem Lett       Date:  2010-09-03       Impact factor: 4.345

2.  Estimation of affinities of ligands in mixtures via magnetic recovery of target-ligand complexes and chromatographic analyses: chemometrics and an experimental model.

Authors:  Xiaolan Yang; Yanling Xie; Jun Pu; Hua Zhao; Juan Liao; Yonghua Yuan; Sha Zhu; Gaobo Long; Chun Zhang; Huidong Yuan; Yiwen Chen; Fei Liao
Journal:  BMC Biotechnol       Date:  2011-05-05       Impact factor: 2.563

3.  Design of chemical libraries with potentially bioactive molecules applying a maximum common substructure concept.

Authors:  Michael Lisurek; Bernd Rupp; Jörg Wichard; Martin Neuenschwander; Jens Peter von Kries; Ronald Frank; Jörg Rademann; Ronald Kühne
Journal:  Mol Divers       Date:  2009-08-15       Impact factor: 2.943

4.  An improved relaxed complex scheme for receptor flexibility in computer-aided drug design.

Authors:  Rommie E Amaro; Riccardo Baron; J Andrew McCammon
Journal:  J Comput Aided Mol Des       Date:  2008-01-15       Impact factor: 3.686

  4 in total

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