Discovering potential inhibitors of the YEATS domain of YEATS2 through virtual screening, molecular optimization and molecular dynamics simulations

被引:1
|
作者
Wang, Xiaoyan [1 ]
Cheng, Guanghui [2 ]
Zhao, Jingjie [3 ]
Gao, Ping [4 ]
Mao, Haiting [3 ]
Yuan, Chao [3 ]
Zhang, Jian [2 ]
机构
[1] Shandong First Med Univ, Dept Clin Lab, Shandong Prov Hosp, Jinan 250021, Shandong, Peoples R China
[2] Shandong Univ, Hosp 2, Inst Med Sci, Cheeloo Coll Med, Jinan 250033, Shandong, Peoples R China
[3] Shandong Univ, Hosp 2, Cheeloo Coll Med, Dept Clin Lab, Jinan 250033, Shandong, Peoples R China
[4] Shandong First Med Univ, Dept Pharm, Shandong Prov Hosp, Jinan 250021, Shandong, Peoples R China
基金
中国国家自然科学基金;
关键词
LINKS HISTONE ACETYLATION; CROTONYLATION;
D O I
10.1039/d3nj03738j
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
YEATS domains have been recently identified as novel readers of histone lysine acylation. Increasing evidence has revealed that dysregulated interactions between YEATS domains and histone lysine acylation are associated with human disease, suggesting the therapeutic potential of YEATS domain inhibition. The inhibitors targeting the YEATS domains of AF9, ENL, and GAS41 have been developed, while the YEATS2 YEATS domain inhibitors have not been reported so far. In this study, we have identified potential YEATS2 YEATS domain inhibitor candidates by integrating multiple computational approaches. Structure-based and ligand-based virtual screening was performed, and a total of 101 small molecule ligands were found from ZINC Natural Products, Enamine Advanced and Enamine HTS with affinity >-8.5 kcal mol(-1). Structure-based drug design (SBDD) and ligand-based drug design (LBDD) strategies were used to conduct three rounds of molecular optimization based on the interaction between the small molecule ligands and the YEATS2 YEATS domain, and three groups of optimized molecules with better binding affinity were finally selected. The optimized compounds op2(-1), op2-6, op3-5, and op3-6 were selected for molecular dynamics (MD) simulation studies to examine the interaction and stability of the best predicted conformation of the protein-ligand complex (MM/GBSA, -49.85 to -73.21 kcal mol(-1)). This study identifies the dominant molecular fragments and interaction modes that bind to various parts of the YEATS2 YEATS domain. Taken together, our study provides a starting platform for the development of highly active and selective inhibitors for the YEATS2 YEATS domain and the study of their mechanism of action in the future.
引用
收藏
页码:19447 / 19460
页数:14
相关论文
共 50 条
  • [41] Design, virtual screening, molecular docking and molecular dynamics studies of novel urushiol derivatives as potential HDAC2 selective inhibitors
    Zhou, Hao
    Wang, Chengzhang
    Ye, Jianzhong
    Chen, Hongxia
    Tao, Ran
    GENE, 2017, 637 : 63 - 71
  • [42] In silico development of potential InhA inhibitors through 3D-QSAR analysis, virtual screening and molecular dynamics
    Bhaskar, Vaishnav
    Kumar, Sunil
    Nair, Aathira Sujathan
    Gokul, S.
    Krishnendu, Prayaga Rajappan
    Benny, Sonu
    Amrutha, C. T.
    Manisha, Deepthi S.
    Bhaskar, Vaishnavi
    Zachariah, Subin Mary
    Aneesh, T. P.
    Abdelgawad, Mohamed A.
    Ghoneim, Mohammed M.
    Pappachen, Leena K.
    Nicolotti, Orazio
    Mathew, Bijo
    JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS, 2025, 43 (03): : 1329 - 1351
  • [43] Successful application of virtual screening and molecular dynamics simulations against antimalarial molecular targets
    Nunes, Renata Rachide
    Costa, Marina dos Santos
    Santos, Bianca Dos Reis
    da Fonseca, Amanda Luisa
    Ferreira, Lorena Sales
    Russo Chagas, Rafael Cesar
    da Silva, Alisson Marques
    Varotti, Fernando de Pilla
    Taranto, Alex Gutterres
    MEMORIAS DO INSTITUTO OSWALDO CRUZ, 2016, 111 (12): : 721 - 730
  • [44] Screening of Potential Inhibitors Against SARS-CoV-2 Based on Prescription Mining and Molecular Dynamics Simulations
    Zhang Xiao-Zheng
    Gao Ying
    Liu Yu
    Tai Yang-Hao
    Liang Li-Zhong
    Zhang Yu-Long
    Hou Shu-Lin
    Xie Jun
    PROGRESS IN BIOCHEMISTRY AND BIOPHYSICS, 2022, 49 (10) : 1889 - 1900
  • [45] Exploring Aurone Derivatives as Potential Human Pancreatic Lipase Inhibitors through Molecular Docking and Molecular Dynamics Simulations
    Nguyen, Phuong Thuy Viet
    Huynh, Han Ai
    Truong, Dat Van
    Tran, Thanh-Dao
    Vo, Cam-Van Thi
    MOLECULES, 2020, 25 (20):
  • [46] Discovery of novel 5α-reductase type II inhibitors by pharmacophore modelling, virtual screening, molecular docking and molecular dynamics simulations
    Wang, Jhih-Lun
    Liu, Hsuan-Liang
    Zhou, Zheng-Li
    Chen, Wei-Hsi
    Ho, Yih
    MOLECULAR SIMULATION, 2015, 41 (04) : 287 - 297
  • [47] Discovery of potential VEGFR-2 inhibitors from natural products by virtual screening and molecular dynamics simulation
    Xie, Qiong
    Luo, Mengshi
    Liu, Mingyan
    Xie, Yuxin
    Li, Di
    Dai, Hongjing
    Chen, Xiaohua
    PHYSICAL CHEMISTRY CHEMICAL PHYSICS, 2025, 27 (07) : 3732 - 3747
  • [48] Virtual Screening of Adenylate Kinase 3 Inhibitors Employing Pharmacophoric Model, Molecular Docking, and Molecular Dynamics Simulations as Potential Therapeutic Target in Chronic Lymphocytic Leukemia
    Barbosa, Barbara Lima Fonseca
    Freitas, Tulio Resende
    Almeida, Michell de Oliveira
    Araujo, Sergio Schusterschitz da Silva
    Andrade, Ana Clara
    Dornelas, Geovana Gomes
    Fiorotto, Julyana Gayva
    Maltarollo, Vinicius Goncalves
    Sabino, Adriano de Paula
    FUTURE PHARMACOLOGY, 2021, 1 (01): : 60 - 79
  • [49] Identification of Potential Inhibitors for Poly(ADP-ribose) Polymerase-10 (PARP10): Virtual Screening, Molecular Docking, and Molecular Dynamics Simulations
    Lotfi, Ghazaleh
    Mohebbi, Shohreh
    Mohammadian Berneti, Atefeh
    Amanlou, Massoud
    Salehabadi, Hafezeh
    CHEMISTRYSELECT, 2024, 9 (39):
  • [50] Potential inhibitors for FKBP51: an in silico study using virtual screening, molecular docking and molecular dynamics simulation
    Barge, Sagar
    Jade, Dhananjay
    Ayyamperumal, Selvaraj
    Manna, Prasenjit
    Borah, Jagat
    Nanjan, Chandrasekar Moola Joghee
    Nanjan, Moola Joghee
    Talukdar, Narayan Chandra
    JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS, 2022, 40 (24): : 13799 - 13811