Discovery of Novel Small Molecule HDAC1, 2, 3 Inhibitors -- Combined Receptor-Based and Ligand-Based Virtual Screening Strategy

被引:0
|
作者
Wu, Yi [1 ]
Zhang, Bo [2 ]
Dong, Xiaowu [3 ]
Ma, Shenglin [4 ]
Hu, Shengquan
机构
[1] Nanjing Med Univ, Hangzhou Peoples Hosp 1, Dept Gen Surg, Hangzhou 310006, Zhejiang, Peoples R China
[2] Nanjing Med Univ, Hangzhou Peoples Hosp 1, Dept Oncol, Hangzhou 310006, Zhejiang, Peoples R China
[3] Zhejiang Univ, Affiliated Hangzhou Peoples Hosp 1, Key Lab Clin Canc Pharmacol & Toxicol Res Zhejian, Dept Clin Pharmacol,Sch Med, Hangzhou 310006, Zhejiang, Peoples R China
[4] Zhejiang Univ, Coll Pharmaceut Sci, Innovat Inst Artificial Intelligence Med, Hangzhou Inst Innovat Med, Hangzhou 310058, Zhejiang, Peoples R China
关键词
HDAC1; inhibitors; RBVS; LBVS; cancer; deacetylation; HISTONE DEACETYLASE INHIBITOR; TUMOR-SUPPRESSOR; TRANSCRIPTION; PANOBINOSTAT; EPIGENETICS; EXPRESSION; INVASION; DOCKING;
D O I
10.2174/1570180819666211220124300
中图分类号
R914 [药物化学];
学科分类号
100701 ;
摘要
Aims: This study aims to investigate and validate the potential drug target to HDAC1. Background: Human histone deacetylase 1 (HDAC1) can catalyze the deacetylation of histones belonging to the family of human histone deacetylases (HDACs). Amide hydrolase HDAC1 plays a key role in the development of many serious cancers such as prostate cancer, gastric cancer, lung cancer, esophageal cancer, colon cancer, and breast cancer. Therefore, HDAC1 inhibitors, promoting the transcription of a series of key genes such as the p53 gene and inhibiting the development of cancer through various downstream mechanisms, have great potential for the treatment of cancer. Objective: The objective of this study is to discover new skeleton HDAC1 inhibitors efficiently and conveniently with therapeutic potential for cancer. Methods: Based on the crystal structure of HDAC1, through the combination of receptor-based and ligand-based virtual screening from the commercial compound library, the top-ranked compounds are selected for purchase through binding modes analysis, and their activities were verified through in vitro HDAC1 inhibitory biological experiments. Results: Based on LeDock, 5ICN showed good distinguishing ability and was used as the receptor. According to the results of the LeDock docking scoring from receptor-based virtual screening, 69 compounds with binding energy less than -7.5 kcal/mol were obtained and used for ligand-based virtual screening. A total of 21 novel compounds with high potential HDAC1 inhibitory activity were collected by combining the similarity searching (NN) and the multinomial Naive Bayes machine learning model (NB) methods. Through binding modes analysis, 10 compounds with different structures with potential HDAC1 inhibitory activity were selected and screened HDAC1 inhibitory in vitro. May267 showed moderate HDAC1 inhibitory activity, and the inhibition rate was 48% at a concentration of 20 mu M. Conclusion: This study discovers novel small molecule HDAC1 inhibitors by combined receptor-based and ligand-based virtual screening strategy, which provides an efficient method for the discovery of other small molecule drugs. May267 shows moderate HDAC1 inhibitory activity, which can be further optimized as a lead compound. However, it still has the problem of poor kinase selectivity to be solved.
引用
收藏
页码:627 / 636
页数:10
相关论文
共 50 条
  • [1] Ligand-based Discovery of Novel Small Molecule Inhibitors of RON Receptor Tyrosine Kinase
    Zarei, Omid
    Faham, Najme
    Vankayalapati, Hariprasad
    Raeppel, Stephane L.
    Welm, Alana L.
    Hamzeh-Mivehroud, Maryam
    [J]. MOLECULAR INFORMATICS, 2022, 41 (01)
  • [2] Discovery of novel small molecule EGFR inhibitory leads by structure and ligand-based virtual screening
    Mahajan, Priya
    Suri, Nitasha
    Mehra, Rukmankesh
    Gupta, Monika
    Kumar, Amit
    Singh, Shashank Kr.
    Nargotra, Amit
    [J]. MEDICINAL CHEMISTRY RESEARCH, 2017, 26 (01) : 74 - 92
  • [3] Discovery of novel small molecule EGFR inhibitory leads by structure and ligand-based virtual screening
    Priya Mahajan
    Nitasha Suri
    Rukmankesh Mehra
    Monika Gupta
    Amit Kumar
    Shashank Kr. Singh
    Amit Nargotra
    [J]. Medicinal Chemistry Research, 2017, 26 : 74 - 92
  • [4] Discovery of novel hit compounds as potential HDAC1 inhibitors: The case of ligand- and structure-based virtual screening
    Sirous, Hajar
    Campiani, Giuseppe
    Calderone, Vincenzo
    Brogi, Simone
    [J]. COMPUTERS IN BIOLOGY AND MEDICINE, 2021, 137
  • [5] Discovery of Novel Metalloenzyme Inhibitors Based on Property Characterization: Strategy and Application for HDAC1 Inhibitors
    Zhang, Lu
    Yang, Yajun
    Yang, Ying
    Xiao, Zhiyan
    [J]. MOLECULES, 2024, 29 (05):
  • [6] Ligand-Based Pharmacophore Modeling and Virtual Screening for the Discovery of Novel 17β-Hydroxysteroid Dehydrogenase 2 Inhibitors
    Vuorinen, Anna
    Engeli, Roger
    Meyer, Arne
    Bachmann, Fabio
    Griesser, Ulrich J.
    Schuster, Daniela
    Odermatt, Alex
    [J]. JOURNAL OF MEDICINAL CHEMISTRY, 2014, 57 (14) : 5995 - 6007
  • [7] Receptor-based virtual ligand screening for the identification of novel CDC25 phosphatase inhibitors
    Montes, Matthieu
    Braud, Ernmanuelle
    Miteva, Maria A.
    Goddard, Mary-Lorene
    Mondesert, Odile
    Kolb, Stephanie
    Brun, Marie-Priscille
    Ducommun, Bernard
    Garbay, Christiane
    Villoutreix, Bruno O.
    [J]. JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2008, 48 (01) : 157 - 165
  • [8] Discovery of a small-molecule inhibitor of STAT3 by ligand-based pharmacophore screening
    Leung, Ka-Ho
    Liu, Li-Juan
    Lin, Sheng
    Lu, Lihua
    Zhong, Hai-Jing
    Susanti, Dewi
    Rao, Weidong
    Wang, Modi
    Che, Weng Ian
    Chan, Daniel Shiu-Hin
    Leung, Chung-Hang
    Chan, Philip Wai Hong
    Ma, Dik-Lung
    [J]. METHODS, 2015, 71 : 38 - 43
  • [9] Discovery of novel potential selective HDAC8 inhibitors by combine ligand-based, structure-based virtual screening and in-vitro biological evaluation
    Debnath, Sudhan
    Debnath, Tanusree
    Bhaumik, Samhita
    Majumdar, Swapan
    Kalle, Arunasree M.
    Aparna, Vema
    [J]. SCIENTIFIC REPORTS, 2019, 9 (1)
  • [10] Receptor-based pharmacophore modeling, virtual screening, and molecular docking studies for the discovery of novel GSK-3β inhibitors
    Ahmed M. El Kerdawy
    Alaa A. Osman
    Marwa A. Zaater
    [J]. Journal of Molecular Modeling, 2019, 25