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: Database; Drug design; In silico; Kinase inhibitor; Server.
Copyright © 2022 Elsevier Ltd. All rights reserved.