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

被引:15
作者
Li, Linwei [1 ,2 ,3 ]
Liu, Songtao [1 ,2 ,3 ,4 ]
Wang, Bi [1 ,2 ,3 ]
Liu, Fei [1 ,2 ,3 ]
Xu, Shu [1 ,2 ,3 ]
Li, Pirui [1 ,2 ,3 ]
Chen, Yu [1 ,2 ,3 ]
机构
[1] Inst Bot, Jiangsu Key Lab Res & Utilizat Plant Resources, Nanjing 210014, Jiangsu, Peoples R China
[2] Chinese Acad Sci, Nanjing 210014, Peoples R China
[3] Inst Bot, Jiangsu Prov Engn Res Ctr Ecocultivat & High Value, Nanjing 210014, Jiangsu, Peoples R China
[4] Nanjing Agr Univ, Coll Plant Protect, Key Lab Pesticide, Nanjing 210095, Peoples R China
关键词
CADD; SBDD; LBDD; kinase; small molecule kinase inhibitors; ACTIVITY-RELATIONSHIP QSAR; PROTEIN-LIGAND DOCKING; STRUCTURAL BIOLOGY; DYNAMICS SIMULATIONS; PHOSPHORYLATION SITE; GLUCOSE TRANSPORTERS; QUANTUM-MECHANICS; DISCOVERY; PHARMACOPHORE; QM/MM;
D O I
10.3390/ijms241813953
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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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页数:29
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