Literature DB >> 30582283

Insight into the selective mechanism of phosphoinositide 3-kinase γ with benzothiazole and thiazolopiperidine γ-specific inhibitors by in silico approaches.

Jingyu Zhu1, Kan Li1, Lei Xu2, Jian Jin1.   

Abstract

The phosphoinositide 3-kinase γ (PI3Kγ) has been verified to be a potential drug target for the treatments of various human physical disorders. Although received lots of attention, the development of PI3Kγ-selective inhibitors is still a challenging subject because of its unique protein structural features. Aiming to uncover the interaction mechanism between the selective inhibitors and PI3Kγ, a series of benzothiazole and thiazolopiperidine PI3Kγ isoform-selective inhibitors were studied with an integrated in silico strategy by combining molecular docking, molecular dynamic simulations, binding free energy calculations, and decomposition analysis. Firstly, three molecular docking models, including rigid receptor docking, induced fit docking (IFD), and quantum mechanical-polarized ligand docking, were respectively, built, and the IFD preliminarily predicted the docking poses of all studied inhibitors and roughly analyzed the binding mechanism. Secondly, four binding complexes with representative inhibitors were selected to perform molecular dynamic simulations and free energy calculations. The predicted binding energies were consistent with the experimental bioactivities and different binding patterns between potent and weak inhibitors were uncovered. Finally, through the Molecular Mechanics/Generalized Born Surface Area binding free energy decomposition, residue-inhibitor interactions spectra were obtained and several key residues contributing to favorable binding were highlighted, which provides valuable information for rational PI3Kγ inhibitor design and modification.
© 2018 John Wiley & Sons A/S.

Entities:  

Keywords:  MM-GBSA; PI3Kγ; molecular docking; molecular dynamic simulation; selective inhibitor

Mesh:

Substances:

Year:  2019        PMID: 30582283     DOI: 10.1111/cbdd.13469

Source DB:  PubMed          Journal:  Chem Biol Drug Des        ISSN: 1747-0277            Impact factor:   2.817


  3 in total

1.  A multi-conformational virtual screening approach based on machine learning targeting PI3Kγ.

Authors:  Jingyu Zhu; Yingmin Jiang; Lei Jia; Lei Xu; Yanfei Cai; Yun Chen; Nannan Zhu; Huazhong Li; Jian Jin
Journal:  Mol Divers       Date:  2021-06-23       Impact factor: 3.364

2.  Theoretical Exploring Selective-Binding Mechanisms of JAK3 by 3D-QSAR, Molecular Dynamics Simulation and Free Energy Calculation.

Authors:  Jingyu Zhu; Qianqian Yu; Yanfei Cai; Yun Chen; Hui Liu; Wenqing Liang; Jian Jin
Journal:  Front Mol Biosci       Date:  2020-05-27

3.  Discovery of a novel phosphoinositide 3-kinase gamma (PI3Kγ) inhibitor against hematologic malignancies and theoretical studies on its PI3Kγ-specific binding mechanisms.

Authors:  Jingyu Zhu; Ke Ke; Lei Xu; Jian Jin
Journal:  RSC Adv       Date:  2019-06-28       Impact factor: 4.036

  3 in total

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