Identification of New Inhibitors for Human SIRT1: An in-silico Approach

被引:12
|
作者
Padmanabhan, Balasundaram [1 ]
Ramu, Manjula [1 ]
Mathur, Shruti [1 ]
Unni, Sruthi [1 ]
Thiyagarajan, Saravanamuthu [2 ]
机构
[1] Natl Inst Mental Hlth & Neurosci NIMHANS, Dept Biophys, Hosur Rd, Bangalore 560029, Karnataka, India
[2] IBAB, Elect City, Bangalore 560100, Karnataka, India
关键词
Sirtuins; human SIRT1; virtual screening; DrugBank; inhibitors; diphenyl and oxycoumarin derivatives; molecular dynamics; HDAC assay; SCORING FUNCTION; MAMMALIAN SIRTUINS; DEACETYLASES; DERIVATIVES; SENESCENCE; LONGEVITY; MECHANISM; DISCOVERY; EFFICIENT; SYSTEM;
D O I
10.2174/1573406412666160107111612
中图分类号
R914 [药物化学];
学科分类号
100701 ;
摘要
Background: Human SIRT1 is a class III histone deacetylase (HDAC) family protein. As the overexpression of hSIRT1 leads to cancer, inhibiting its HDAC function may be a better strategy for the treatment of cancer. Till now, only a few reported inhibitor compounds have reached the stage of animal studies; hence, identifying high efficacy inhibitors of hSIRT1 is essential. Objective: The main objective of the study is to obtain a new class of inhibitor compounds of hSIRT1 by the rational structure-based method. Methodology: We performed virtual screening using AutoDock Vina for the HDAC domain of hSIRT1 against the DrugBank library containing 1,716 compounds. The recently determined crystal structure of the HDAC domain of hSIRT1 (PDB Id: 4KXQ) was used for docking studies. Subsequently, we performed molecular dynamics simulations and an in-vitro deacetylase assay for selected compounds. Results: Virtual screening studies yielded seven compounds from two chemical classes, namely diphenyl and oxycoumarin derivatives. Molecular dynamic simulations confirmed that the predicted seven compounds bind well to their respective complex structures. Moreover, four commercially available drugs containing the predicted compounds showed significant inhibition of hSIRT1 deacetylase activity in comparison to the known hSIRT1 inhibitor (sirtinol). Conclusion: Our results indicate that the compounds of the diphenyl and oxycoumarin series may serve as useful scaffolds in the development of new chemical libraries of hSIRT1 inhibitory activity.
引用
收藏
页码:347 / 361
页数:15
相关论文
共 50 条
  • [41] Novel Potent Plasmepsin-I (PMI) Inhibitors: An In-Silico Approach
    Chaudhary, Kamal Kumar
    Raj, Utkarsh
    Varadwaj, Pritish Kumar
    Mishra, Nidhi
    CURRENT PROTEOMICS, 2016, 13 (03) : 196 - 205
  • [42] Structure-Based Design of Pseudopeptidic Inhibitors for SIRT1 and SIRT-2
    Huhtiniemi, Tero
    Salo, Heikki S.
    Suuronen, Tiina
    Poso, Antti
    Salminen, Antero
    Leppanen, Jukka
    Jarho, Elina
    Lahtela-Kakkonen, Maija
    JOURNAL OF MEDICINAL CHEMISTRY, 2011, 54 (19) : 6456 - 6468
  • [43] Discovery of indoles as potent and selective inhibitors of the deacetylase SIRT1
    Napper, AD
    Hixon, J
    McDonagh, T
    Keavey, K
    Pons, JF
    Barker, J
    Yau, WT
    Amouzegh, P
    Flegg, A
    Hamelin, E
    Thomas, RJ
    Kates, M
    Jones, S
    Navia, MA
    Saunders, J
    DiStefano, PS
    Curtis, R
    JOURNAL OF MEDICINAL CHEMISTRY, 2005, 48 (25) : 8045 - 8054
  • [44] Identification of Novel Inhibitors for Disrupting EZH2-EED Interactions Involved in Cancer Epigenetics: An In-Silico Approach
    Raj, Utkarsh
    Kumar, Himansu
    Gupta, Saurabh
    Varadwaj, Pritish Kumar
    CURRENT PROTEOMICS, 2016, 13 (04) : 313 - 321
  • [45] Identification of potential inhibitors against Corynebacterium diphtheriae MtrA response regulator protein; an in-silico drug discovery approach
    Khalid, Zunera
    Shamim, Amen
    Saadh, Mohamed J.
    Alafnan, Ahmed
    Alaraj, Mohd
    Butt, Muhammad Hassan
    Ashraf, Tehreem
    JOURNAL OF MOLECULAR GRAPHICS & MODELLING, 2024, 133
  • [46] An in silico approach for the identification of inhibitors against Acetylcholinesterase
    Remya, C.
    Dileep, K. V.
    Tintu, I.
    Variyar, E. J.
    Sadasivan, C.
    MEDICINAL CHEMISTRY RESEARCH, 2012, 21 (10) : 2779 - 2787
  • [47] An in silico approach for the identification of inhibitors against Acetylcholinesterase
    C. Remya
    K. V. Dileep
    I. Tintu
    E. J. Variyar
    C. Sadasivan
    Medicinal Chemistry Research, 2012, 21 : 2779 - 2787
  • [48] Ligand-based virtual screening and inductive learning for identification of SIRT1 inhibitors in natural products
    Sun, Yunan
    Zhou, Hui
    Zhu, Hongmei
    Leung, Siu-Wai
    SCIENTIFIC REPORTS, 2016, 6
  • [49] Discovery of Novel SIRT1/2 Inhibitors with Effective Cytotoxicity against Human Leukemia Cells
    Cai, Haiyan
    Wang, Yingying
    Zhang, Jing
    Wei, Zhenquan
    Yan, Teng
    Feng, Chenxi
    Xu, Zhijian
    Zhou, Aiwu
    Wu, Yingli
    JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2023, 63 (15) : 4780 - 4790
  • [50] Ligand-based virtual screening and inductive learning for identification of SIRT1 inhibitors in natural products
    Yunan Sun
    Hui Zhou
    Hongmei Zhu
    Siu-wai Leung
    Scientific Reports, 6