Developing new PI3Kγ inhibitors by combining pharmacophore modeling, molecular dynamic simulation, molecular docking, fragment-based drug design, and virtual screening

被引:7
|
作者
Zhu, Jingyu [1 ]
Sun, Dan [1 ]
Li, Xintong [1 ]
Jia, Lei [1 ]
Cai, Yanfei [1 ]
Chen, Yun [1 ]
Jin, Jian [1 ]
Yu, Li [2 ]
机构
[1] Jiangnan Univ, Sch Life Sci & Hlth Engn, Wuxi 214122, Jiangsu, Peoples R China
[2] Changzhou Vocat Inst Engn, Sch Inspection & Testing Certificat, Changzhou 213164, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
PI3K gamma selective inhibitor; IPI-549; Pharmacophore; Molecular dynamics simulation; Virtual screening; DISCOVERY; GENERATION; PATHWAY;
D O I
10.1016/j.compbiolchem.2023.107879
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Since dysregulation of the phosphatidylinositol 3-kinase gamma (PI3K?) signaling pathway is associated with the pathogenesis of cancer, inflammation, and autoimmunity, PI3K? has emerged as an attractive target for drug development. IPI-549 is the only selective PI3K? inhibitor that has advanced to clinical trials, thus, IPI-549 could serve as a promising template for designing novel PI3K? inhibitors. In this present study, a modeling strategy consisting of common feature pharmacophore modeling, receptor-ligand pharmacophore modeling, and molecular dynamics simulation was utilized to identify the key pharmacodynamic characteristic elements of the target compound and the key residue information of the PI3K? interaction with the inhibitors. Then, 10 molecules were designed based on the structure-activity relationships, and some of them exhibited satisfactory predicted binding affinities to PI3K?. Finally, a hierarchical multistage virtual screening method, involving the developed common feature and receptor-ligand pharmacophore model and molecular docking, was constructed for screening the potential PI3K? inhibitors. Overall, we hope these findings would provide some guidance for the development of novel PI3K? inhibitors.
引用
收藏
页数:14
相关论文
共 50 条
  • [21] Pharmacophore modeling, virtual screening and molecular docking of ATPase inhibitors of HSP70
    Sangeetha, K.
    Sasikala, R. P.
    Meena, K. S.
    [J]. COMPUTATIONAL BIOLOGY AND CHEMISTRY, 2017, 70 : 164 - 174
  • [22] Identification of novel urease inhibitors: pharmacophore modeling, virtual screening and molecular docking studies
    Arora, Richa
    Issar, Upasana
    Kakkar, Rita
    [J]. JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS, 2019, 37 : 29 - 29
  • [23] Identification of novel urease inhibitors: pharmacophore modeling, virtual screening and molecular docking studies
    Arora, Richa
    Issar, Upasana
    Kakkar, Rita
    [J]. JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS, 2019, 37 (16): : 4312 - 4326
  • [24] Identification of potent CypD inhibitors via pharmacophore based virtual screening, docking and molecular dynamics simulation
    Chen, Xiao-Zhong
    Yu, Xiu-Yan
    Dai, Chen
    Huang, Qiu-Yang
    Shen, Yan
    Wang, Juan
    Hu, Yong
    Lin, Zhi-Hua
    [J]. JOURNAL OF MOLECULAR STRUCTURE, 2022, 1247
  • [25] Design, Synthesis and Molecular Docking Studies of Pyrazoline Derivatives as PI3K Inhibitors
    Kumar, Rohit
    Kumar, Arvind
    Kumar, Adarsh
    Singh, Ankit Kumar
    Kumar, Pradeep
    [J]. COMBINATORIAL CHEMISTRY & HIGH THROUGHPUT SCREENING, 2024, 27 (02) : 256 - 272
  • [26] Structural exploration of PPARγ modulators through pharmacophore mapping, fragment-based design, docking, and molecular dynamics simulation analyses
    Nandy, Ashis
    Roy, Kunal
    Saha, Achintya
    [J]. MEDICINAL CHEMISTRY RESEARCH, 2017, 26 (01) : 52 - 63
  • [27] Structural exploration of PPARγ modulators through pharmacophore mapping, fragment-based design, docking, and molecular dynamics simulation analyses
    Ashis Nandy
    Kunal Roy
    Achintya Saha
    [J]. Medicinal Chemistry Research, 2017, 26 : 52 - 63
  • [28] Structure Based Design, Synthesis, Pharmacophore Modeling, Virtual Screening, and Molecular Docking Studies for Identification of Novel Cyclophilin D Inhibitors
    Valasani, Koteswara Rao
    Vangavaragu, Jhansi Rani
    Day, Victor W.
    Yan, Shirley Shidu
    [J]. JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2014, 54 (03) : 902 - 912
  • [29] Multidimensional Criteria for Virtual Screening of PqsR Inhibitors Based on Pharmacophore, Docking, and Molecular Dynamics
    Xiao, Haichuan
    Li, Jiahao
    Yang, Dongdong
    Du, Jiarui
    Li, Jie
    Lin, Shuqi
    Zhou, Haibo
    Sun, Pinghua
    Xu, Jun
    [J]. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2024, 25 (03)
  • [30] The discovery of potential acetylcholinesterase inhibitors: A combination of pharmacophore modeling, virtual screening, and molecular docking studies
    Lu, Shin-Hua
    Wu, Josephine W.
    Liu, Hsuan-Liang
    Zhao, Jian-Hua
    Liu, Kung-Tien
    Chuang, Chih-Kuang
    Lin, Hsin-Yi
    Tsai, Wei-Bor
    Ho, Yih
    [J]. JOURNAL OF BIOMEDICAL SCIENCE, 2011, 18