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An Updated Review on Developing Small Molecule Kinase Inhibitors Using Computer-Aided Drug Design Approaches

Journal

Publisher

MDPI
DOI: 10.3390/ijms241813953

Keywords

CADD; SBDD; LBDD; kinase; small molecule kinase inhibitors

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Small molecule kinase inhibitors (SMKIs) play a crucial role in drug research and development, with numerous approved drugs and candidates in clinical trials. Computer-aided drug design (CADD) is essential in the discovery and optimization of SMKIs.
Small molecule kinase inhibitors (SMKIs) are of heightened interest in the field of drug research and development. There are 79 (as of July 2023) small molecule kinase inhibitors that have been approved by the FDA and hundreds of kinase inhibitor candidates in clinical trials that have shed light on the treatment of some major diseases. As an important strategy in drug design, computer-aided drug design (CADD) plays an indispensable role in the discovery of SMKIs. CADD methods such as docking, molecular dynamic, quantum mechanics/molecular mechanics, pharmacophore, virtual screening, and quantitative structure-activity relationship have been applied to the design and optimization of small molecule kinase inhibitors. In this review, we provide an overview of recent advances in CADD and SMKIs and the application of CADD in the discovery of SMKIs.

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