| Literature DB >> 21803170 |
James T L Mah1, Esther S H Low, Edmund Lee.
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.Mesh:
Year: 2011 PMID: 21803170 DOI: 10.1016/j.drudis.2011.07.005
Source DB: PubMed Journal: Drug Discov Today ISSN: 1359-6446 Impact factor: 7.851