Discovery and design of new PI3K inhibitors through pharmacophore-based virtual screening, molecular docking, and binding free energy analysis

被引:0
|
作者
Saikiran Reddy Peddi
Sree Kanth Sivan
Vijjulatha Manga
机构
[1] University College of Science,Molecular Modeling and Medicinal Chemistry Group, Department of Chemistry
[2] Osmania University,Department of Chemistry, Nizam College
[3] Osmania University,undefined
来源
Structural Chemistry | 2018年 / 29卷
关键词
Phosphoinositide 3-kinase; Pharmacophore-based virtual screening; Molecular docking; Binding free energy; Quinoline derivatives; Cyclic peptides;
D O I
暂无
中图分类号
学科分类号
摘要
Phosphoinositide 3-kinase (PI3K)/protein kinase B (AKT)/the mammalian target of rapamycin (mTOR) signaling pathway is one of the sought after therapeutic target for treating human cancers. This pathway is often hyper activated in cancers. In the present study, pharmacophore-based virtual screening, molecular docking, and binding free energy calculations were performed on a series of quinoline derivatives which were reported to be effective against PI3Kα. A five-point pharmacophore hypothesis with one hydrogen bond acceptor (A), one hydrogen bond donor (D), one hydrophobic group (H), and two aromatic rings (R) was developed with acceptable R2 and Q2 values of 0.93 and 0.60 respectively. Eventually, common pharmacophore hypothesis-based screening was conducted against TOSLab, CPP, and ASINEX macrocylce databases, and potential hits were identified which were further subjected to rigorous docking process in order to screen out drug like molecules having crucial interactions with the target PI3Kα. Finally, binding free energy analysis was carried out for the top hits obtained from docking process. We also designed new 1, 3, 4-oxadiazole-based cyclic peptides by incorporating the structural features of the hits obtained from the above databases. Among the designed cyclic peptides, the cyclic peptide with tryptophan moiety showed good interactions and free binding energy values. On the whole, this study helped us in identifying new promising molecules as PI3Kα inhibitors which can be explored further to generate greater number of compounds with better pharmacokinetic properties.
引用
收藏
页码:1753 / 1766
页数:13
相关论文
共 50 条
  • [21] Identification of novel acetylcholinesterase inhibitors designed by pharmacophore-based virtual screening, molecular docking and bioassay
    Cheongyun Jang
    Dharmendra K. Yadav
    Lalita Subedi
    Ramu Venkatesan
    Arramshetti Venkanna
    Sualiha Afzal
    Eunhee Lee
    Jaewook Yoo
    Eunhee Ji
    Sun Yeou Kim
    Mi-hyun Kim
    [J]. Scientific Reports, 8
  • [22] Identification of novel acetylcholinesterase inhibitors designed by pharmacophore-based virtual screening, molecular docking and bioassay
    Jang, Cheongyun
    Yadav, Dharmendra K.
    Subedi, Lalita
    Venkatesan, Ramu
    Venkanna, Arramshetti
    Afzal, Sualiha
    Lee, Eunhee
    Yoo, Jaewook
    Ji, Eunhee
    Kim, Sun Yeou
    Kim, Mi-hyun
    [J]. SCIENTIFIC REPORTS, 2018, 8
  • [23] Pharmacophore-based virtual screening, molecular docking, molecular dynamics simulation, and biological evaluation for the discovery of novel BRD4 inhibitors
    Yan, Guoyi
    Hou, Manzhou
    Luo, Jiang
    Pu, Chunlan
    Hou, Xueyan
    Lan, Suke
    Li, Rui
    [J]. CHEMICAL BIOLOGY & DRUG DESIGN, 2018, 91 (02) : 478 - 490
  • [24] Pharmacophore-based virtual screening and molecular docking to identify promising dual inhibitors of human acetylcholinesterase and butyrylcholinesterase
    Mascarenhas, Ana Mercia Silva
    de Almeida, Raquel Bianca Marchesine
    de Araujo Neto, Moyses Fagundes
    Mendes, Gessica Oliveira
    da Cruz, Jorddy Neves
    dos Santos, Cleydson Breno Rodrigues
    Botura, Mariana Borges
    Leite, Franco Henrique Andrade
    [J]. JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS, 2021, 39 (16): : 6021 - 6030
  • [25] Developing a Naive Bayesian Classification Model with PI3Kγ structural features for virtual screening against PI3Kγ: Combining molecular docking and pharmacophore based on multiple PI3Kγ conformations
    Jiang, Yingmin
    Xiong, Wendian
    Jia, Lei
    Xu, Lei
    Cai, Yanfei
    Chen, Yun
    Jin, Jian
    Gao, Mingzhu
    Zhu, Jingyu
    [J]. EUROPEAN JOURNAL OF MEDICINAL CHEMISTRY, 2022, 244
  • [26] Identifying hQC Inhibitors of Alzheimer's Disease by Effective Customized Pharmacophore-Based Virtual Screening, Molecular Dynamic Simulation, and Binding Free Energy Analysis
    Lin, Weicong
    Zheng, Xiaojie
    Fang, Danqing
    Zhou, Shengfu
    Wu, Wenjuan
    Zheng, Kangcheng
    [J]. APPLIED BIOCHEMISTRY AND BIOTECHNOLOGY, 2019, 187 (04) : 1173 - 1192
  • [27] Identifying hQC Inhibitors of Alzheimer’s Disease by Effective Customized Pharmacophore-Based Virtual Screening, Molecular Dynamic Simulation, and Binding Free Energy Analysis
    Weicong Lin
    Xiaojie Zheng
    Danqing Fang
    Shengfu Zhou
    Wenjuan Wu
    Kangcheng Zheng
    [J]. Applied Biochemistry and Biotechnology, 2019, 187 : 1173 - 1192
  • [28] Pharmacophore-Based Virtual Screening for Identification of Novel Neuraminidase Inhibitors and Verification of Inhibitory Activity by Molecular Docking
    Batool, Sidra
    Mushtaq, Gohar
    Kamal, Warda
    Kamal, Mohammad A.
    [J]. MEDICINAL CHEMISTRY, 2016, 12 (01) : 63 - 73
  • [29] Pharmacophore-Based 3D-QSAR Modeling, Virtual Screening and Molecular Docking Analysis for the Detection of MERTK Inhibitors with Novel Scaffold
    Zhou, Suwen
    Zhou, Lu
    Cui, Ruguo
    Tian, Yahui
    Li, Xiaoli
    You, Rong
    Zhong, Liangliang
    [J]. COMBINATORIAL CHEMISTRY & HIGH THROUGHPUT SCREENING, 2016, 19 (01) : 73 - 96
  • [30] Virtual screening of acetylcholinesterase inhibitors through pharmacophore-based 3D-QSAR modeling, ADMET, molecular docking, and MD simulation studies
    Hitesh Kumar
    Ashok Kumar Datusalia
    Gopal L. Khatik
    [J]. In Silico Pharmacology, 12 (1)