title: In silico SNP analysis and bioinformatics tools: a review of the state of the art to aid drug discovery.
abstract: SNPs can alter protein function and phenotype, leading to altered pharmacogenomic drug profiles. The exponential number of SNPs makes it impossible to perform wet laboratory experiments to determine the biological significance of each one. However, bioinformatics tools can be used to screen for potentially deleterious SNPs that might affect important drug targets before further investigation by wet laboratory techniques. As there are numerous web-based bioinformatics tools, much time and effort is needed to select the most appropriate tool to use. Here, we review state-of-the-art bioinformatics tools to help researchers analyze and select the most promising SNPs for drug discovery in the shortest time possible.
authors.affiliation: Institute for Infocomm Research, A*STAR, Singapore. tlmah@i2r.a-star.edu.sg
authors.forename: James T L
authors.initials: JT
authors.lastname: Mah
authors.forename: Esther S H
authors.initials: ES
authors.lastname: Low
authors.forename: Edmund
authors.initials: E
authors.lastname: Lee
mesh_terms: D019295:Computational Biology / Q000379:methods*; D055808:Drug Discovery / Q000379:methods*; D006801:Humans; D020641:Polymorphism, Single Nucleotide