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Web support for the more efficient discovery of kinase inhibitors
Affiliation:1. State Key Laboratory Breeding Base of Green Pesticide and Agricultural Bioengineering, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Center for Research and Development of Fine Chemicals, Guizhou University, Guiyang 550025, PR China;2. Key Laboratory of Pesticide & Chemical Biology, Ministry of Education, College of Chemistry, Central China Normal University, Wuhan, PR China
Abstract:
Kinases have a crucial role in cell signaling and are important drug targets, given that aberrant kinase activity has been linked to most disease areas. Therefore, kinase inhibitors (KIs) have significant potential as new therapeutics. In recent years, an increasing amount of computational resources have been developed to design ideal scaffold and selective KIs more efficiently. Thus, in this review, we systematically examine the computational tools used in KI research, and discuss and compare the characteristics and limitations of these resources. Such a discussion will facilitate the design of new KIs and provide a learning platform for nonspecialists.
Keywords:Kinase inhibitor  Drug design  Database  Server
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