Journal Article

The protein–small-molecule database, a non-redundant structural resource for the analysis of protein-ligand binding

Izhar Wallach and Ryan Lilien

in Bioinformatics

Volume 25, issue 5, pages 615-620
Published in print March 2009 | ISSN: 1367-4803
Published online January 2009 | e-ISSN: 1460-2059 | DOI: http://dx.doi.org/10.1093/bioinformatics/btp035
The protein–small-molecule database, a non-redundant structural resource for the analysis of protein-ligand binding

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Motivation: An enabling resource for drug discovery and protein function prediction is a large, accurate and actively maintained collection of protein/small-molecule complex structures. Models of binding are typically constructed from these structural libraries by generalizing the observed interaction patterns. Consequently, the quality of the model is dependent on the quality of the structural library. An ideal library should be non-biased and comprehensive, contain high-resolution structures and be actively maintained.

Results: We present a new protein/small-molecule database (the PSMDB) that offers a non-redundant set of holo PDB complexes. The database was designed to allow frequent updates through a fully automated process without manual annotation or filtering. Our method of database construction addresses redundancy at both the protein and the small-molecule level. By efficiently handling structures with covalently bound ligands, we allow our database to include a larger number of structures than previous methods. Multiple versions of the database are available at our web site, including structures of split complexes—the proteins without their binding ligands and the non-covalently bound ligands within their native coordinate frame.

Availability: http://compbio.cs.toronto.edu/psmdb

Contact: izharw@cs.toronto.edu; lilien@cs.toronto.edu

Journal Article.  4516 words.  Illustrated.

Subjects: Bioinformatics and Computational Biology

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