Design and Screening of KLHL22 Inhibitors by Homology Modeling, Molecular Docking, and Molecular Dynamics Simulation

被引:0
|
作者
Gao, Chenglong [1 ]
Sun, Chuance [1 ]
Zhang, Lichuan [1 ]
Zhang, Haoran [1 ]
Yu, Rilei [2 ]
Kang, Congmin [1 ]
机构
[1] Qingdao Univ Sci & Technol, Coll Chem Engn, Qingdao 266042, Peoples R China
[2] Ocean Univ China, Sch Med & Pharm, Chinese Minist Educ, Key Lab Marine Drugs, Qingdao 266003, Peoples R China
基金
中国国家自然科学基金;
关键词
Homology modeling; virtual screening; molecular docking; dynamics simulation; ADME; structure modification; RAG GTPASES; SIGNAL INTEGRATION; MTOR;
D O I
10.2174/1570180819666220422101618
中图分类号
R914 [药物化学];
学科分类号
100701 ;
摘要
Background: Kelch-like protein 22 (KLHL22) was a newly discovered proto-oncogene and it is highly expressed in multiple breast cancer cell lines. Inhibition of KLHL22 can induce autophagy in tumor cells by regulating the mTORC1 pathway. Methods: In this study, the structure of the KLHL22 protein was predicted by homology modelling. The model was evaluated by Ramachandran Plot and Profile-3D. Virtual screening of a drug-like small molecule library of 400,000 compounds was performed, and six potentially active compounds were obtained. Results: Among them, compound 1 had the best docking posture with docking energy of -8.42 kcal/mol. Therefore, we further modified the structure of compound 1. 12 unreported compounds with lower docking energies were obtained. The results of ADMET prediction performed on them showed good druggability. The 60 ns molecular dynamics simulations were performed for compounds 1 and 10. MD studies showed that the complexes had stable RMSD, and the compounds formed good H-bonds interactions with essential amino acids (ASP64, TRP192). Conclusion: These results may provide new insights into the design and development of potent novel KLHL22 inhibitors.
引用
收藏
页码:291 / 303
页数:13
相关论文
共 50 条
  • [1] Homology modeling, docking and molecular dynamics simulation of class IHDACs
    Wang, DF
    Wiest, OG
    Helquist, P
    [J]. ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2005, 230 : U1360 - U1361
  • [2] Homology modeling, virtual screening, molecular docking, and dynamics studies for discovering Staphylococcus epidermidis FtsZ inhibitors
    Vemula, Divya
    Maddi, Dhanashri Ramesh
    Bhandari, Vasundhra
    [J]. FRONTIERS IN MOLECULAR BIOSCIENCES, 2023, 10
  • [3] Drug design of new anti-EBOV inhibitors: QSAR, homology modeling, molecular docking and molecular dynamics studies
    Lahcen, Nouhaila Ait
    Liman, Wissal
    Oubahmane, Mehdi
    Hdoufane, Ismail
    Habibi, Youssef
    Alanazi, Ashwag S.
    Alanazi, Mohammed M.
    Delaite, Christelle
    Maatallah, Mohamed
    Cherqaoui, Driss
    [J]. ARABIAN JOURNAL OF CHEMISTRY, 2024, 17 (09)
  • [4] Screening of Potential Breast Cancer Inhibitors through Molecular Docking and Molecular Dynamics Simulation
    Pandi, Sangavi
    Kulanthaivel, Langeswaran
    Subbaraj, Gowtham Kumar
    Rajaram, Sangeetha
    Subramanian, Senthilkumar
    [J]. BIOMED RESEARCH INTERNATIONAL, 2022, 2022
  • [6] Design and screening of FAK, CDK 4/6 dual inhibitors by pharmacophore model, molecular docking, and molecular dynamics simulation
    Sun, Chuance
    Feng, Lijun
    Sun, Xiaohua
    Yu, Rilei
    Kang, Congmin
    [J]. JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS, 2021, 39 (15): : 5358 - 5367
  • [7] Design of novel PhMTNA inhibitors, targeting neurological disorder through homology modeling, molecular docking, and dynamics approaches
    Jayaprakash, Prajisha
    Biswal, Jayashree
    Kanagarajan, Sureka
    Prabhu, Dhamodharan
    Gogoi, Prerana
    Kanaujia, Shankar Prasad
    Jeyakanthan, Jeyaraman
    [J]. JOURNAL OF RECEPTORS AND SIGNAL TRANSDUCTION, 2019, 39 (01) : 28 - 38
  • [8] Design and screening of SGK1, Src dual inhibitors using pharmacophore models, molecular docking, and molecular dynamics simulation
    Sun, Chuan-ce
    Zhang, Li-chuan
    Gao, Cheng-long
    Zhang, Hao-ran
    Yu, Ri-lei
    Kang, Cong-min
    [J]. NEW JOURNAL OF CHEMISTRY, 2020, 44 (41) : 17815 - 17820
  • [9] Structural Insight into Tetrameric hTRPV1 from Homology Modeling, Molecular Docking, Molecular Dynamics Simulation, Virtual Screening, and Bioassay Validations
    Feng, Zhiwei
    Pearce, Larry V.
    Xu, Xiaomeng
    Yang, Xiaole
    Yang, Peng
    Blumberg, Peter M.
    Xie, Xiang-Qun
    [J]. JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2015, 55 (03) : 572 - 588
  • [10] Identification of novel BRD4 inhibitors by pharmacophore screening, molecular docking, and molecular dynamics simulation
    Dong, Junmin
    Wang, Xinghe
    [J]. JOURNAL OF MOLECULAR STRUCTURE, 2023, 1274