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Integrated molecular modeling techniques to reveal selective mechanisms of inhibitors to PI3Kδ with marketed Idelalisib.

Authors :
Zhu, Jingyu
Jia, Lei
Jiang, Yingmin
Yu, Qianqian
Xu, Lei
Cai, Yanfei
Chen, Yun
Li, Huazhong
Gang, Huang
Liang, Wenqing
Jin, Jian
Source :
Chemical Biology & Drug Design. Jun2021, Vol. 97 Issue 6, p1158-1169. 12p.
Publication Year :
2021

Abstract

Phosphatidylinositol‐3‐kinase (PI3K) is important for cell proliferation, differentiation, and apoptosis, and the diverse physiological roles of different PI3K isoforms have highlighted the significance of the development of PI3Kδ inhibitors. A large number of PI3Kδ inhibitors have been reported after the FDA approval of Idelalisib, but the clinical use of Idelalisib was limited because of its serious side effects. Therefore, great efforts have been made on the development of PI3Kδ inhibitors with higher selectivity and lower toxicity, but there is no new PI3Kδ inhibitor coming into the market so far. Even so, as the first listed PI3K inhibitor, Idelalisib could be used as an effective tool to investigate the selective inhibition mechanism of PI3Kδ. Thus, in this study, a modeling strategy integrated 3D‐QSAR, pharmacophore model, and molecular dynamics simulation was employed to reveal the key chemical characteristics of Idelalisib analogs and the binding pattern between the inhibitors and PI3Kδ. First, the CoMFA model with high statistical significance was built to reveal the general structure–activity relationships. And then, a reliable pharmacophore model with a robust discrimination capability was constructed to expound the main chemical characteristics of the PI3Kδ inhibitors. Finally, molecular dynamics simulation was conducted to explore the binding modes and some key residues refer to δ‐selective binding were highlighted with binding‐free energy calculation. In summary, these models and results would provide some effective help for the discovery or the rational design of novel PI3Kδ inhibitors. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
17470277
Volume :
97
Issue :
6
Database :
Academic Search Index
Journal :
Chemical Biology & Drug Design
Publication Type :
Academic Journal
Accession number :
150236400
Full Text :
https://doi.org/10.1111/cbdd.13838