TargetSNPdb: a database of preliminary analysis data of the impact of nsSNPs on drug target, drug metabolizing enzyme and disease associated genes

Motivation: The presence of nsSNPs in genes encoding drug targets, or drug metabolizing enzymes has been increasingly associated with drug response and diseases. The use of computational tools to analyze sequence and structure data of proteins can contribute to increase prediction efficiency of the impact caused by these nsSNPs. Results: We have developed TargetSNPdb, a database server that contains computational predictions of the structural and functional impact of nsSNPs in protein coding genes, including drug target and drug metabolizing enzyme encoding genes. The analysis results obtained from several computational tools (such as SIFT, PolyPhen, AutoDock, and GROMACS) relevant to the study of the impact of amino acid residue substitutions were integrated to existent information records from the literature and genetic association databases, enabling the combination of results from a variety of different approaches to evaluate the potential impact of nsSNPs on protein function. Potential applications of TargetSNPdb include the priorization of nsSNPs for association and experimental studies. Availability: The TargetSNPdb can be accessed via http://nequim.qui.ufmg.br/targetsnp/