Ligand-Based and Structure-Based Virtual Screening of New Sodium Glucose Cotransporter Type 2 Inhibitors

被引:1
作者
Estrada, Ana Karen [1 ]
Mendez-Alvarez, Domingo [1 ]
Juarez-Saldivar, Alfredo [1 ]
Lara-Ramirez, Edgar E. [1 ]
Martinez-Vazquez, Ana Veronica [1 ]
Villalobos-Rocha, Juan Carlos [2 ]
Palos, Isidro [3 ]
Ortiz-Perez, Eyra [1 ]
Rivera, Gildardo [1 ]
机构
[1] Inst Politecn Nacl, Lab Biotecnol Farmaceut, Ctr Biotecnol Genom, Reynosa 88710, Mexico
[2] Inst Politecn Nacl, Escuela Nacl Ciencias Biol, Dept Microbiol, Ciudad De Mexico 11340, Mexico
[3] Univ Autonoma Tamaulipas, Unidad Acad Multidisciplinaria Reynosa Rodhe, Reynosa 88779, Mexico
关键词
Diabetes mellitus; inhibitors; molecular docking; maximum common substructure; SGLT2; blood glucose; SGLT2; INHIBITOR;
D O I
10.2174/1573406419666230803122020
中图分类号
R914 [药物化学];
学科分类号
100701 ;
摘要
Background Diabetes mellitus is a metabolic disease that causes multiple complications and common comorbidities, which decreases the quality of life for people affected by the disease. Sodium glucose cotransporter type 2 (SGLT2) participates in the reabsorption of 90% of glucose in the kidneys; therefore, it is an attractive drug target for controlling blood glucose levels.Objective The aim in this work was to obtain new potential SGLT2 inhibitors.Methods A ligand-based virtual screening (LBVS) from the ZINC15, PubChem and ChemSpider databases using the maximum common substructure (MCS) scaffold was performed.Results A total of 341 compounds were obtained and analyzed by molecular docking on the active site of SGLT2. Subsequently, 15 compounds were selected for molecular dynamics (MD) simulation analysis. The compounds derived of spiroketal Sa1, Sa4, and Sa9 (<= 3.5 angstrom) in complex with the receptor SGLT2 showed good stability during 120 ns of MD.Conclusion These compounds are proposed as potential SGLT2 inhibitors.
引用
收藏
页码:1049 / 1060
页数:12
相关论文
共 50 条
  • [41] Ligand-based pharmacophore modeling of TNF-α to design novel inhibitors using virtual screening and molecular dynamics
    Jade, Dhananjay D.
    Pandey, Rajan
    Kumar, Rakesh
    Gupta, Dinesh
    JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS, 2022, 40 (04) : 1702 - 1718
  • [42] Identification of diverse dipeptidyl peptidase IV inhibitors via structure-based virtual screening
    Li, Cui
    Lu, Weiqiang
    Lu, Chunhua
    Xiao, Wen
    Shen, Xu
    Huang, Jin
    Liu, Guixia
    Tang, Yun
    JOURNAL OF MOLECULAR MODELING, 2012, 18 (09) : 4033 - 4042
  • [43] Discovery of new multifunctional selective acetylcholinesterase inhibitors: structure-based virtual screening and biological evaluation
    Cheng-Shi Jiang
    Yong-Xi Ge
    Zhi-Qiang Cheng
    Jia-Li Song
    Yin-Yin Wang
    Kongkai Zhu
    Hua Zhang
    Journal of Computer-Aided Molecular Design, 2019, 33 : 521 - 530
  • [44] Discovery of new multifunctional selective acetylcholinesterase inhibitors: structure-based virtual screening and biological evaluation
    Jiang, Cheng-Shi
    Ge, Yong-Xi
    Cheng, Zhi-Qiang
    Song, Jia-Li
    Wang, Yin-Yin
    Zhu, Kongkai
    Zhang, Hua
    JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN, 2019, 33 (05) : 521 - 530
  • [45] Investigating the molecular mechanism of staphylococcal DNA gyrase inhibitors: A combined ligand-based and structure-based resources pipeline
    Durdagi, Serdar
    ul Qamar, Muhammad Tahir
    Salmas, Ramin Ekhteiari
    Tariq, Quratulain
    Anwar, Farooq
    Ashfaq, Usman Ali
    JOURNAL OF MOLECULAR GRAPHICS & MODELLING, 2018, 85 : 122 - 129
  • [46] Discovery of New Inhibitors of Enoyl-ACP Reductase via Structure-Based Virtual Screening
    Laoud, A.
    Ali-Rachedi, F.
    Ferkous, F.
    PHYSICAL CHEMISTRY RESEARCH, 2023, 11 (03): : 459 - 469
  • [47] Chemical Structure Similarity Search for Ligand-based Virtual Screening: Methods and Computational Resources
    Yan, Xin
    Liao, Chenzhong
    Liu, Zhihong
    Hagler, Arnold T.
    Gu, Qiong
    Xu, Jun
    CURRENT DRUG TARGETS, 2016, 17 (14) : 1580 - 1585
  • [48] Virtual Screening Data Fusion Using Both Structure- and Ligand-Based Methods
    Svensson, Fredrik
    Karlen, Anders
    Skold, Christian
    JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2012, 52 (01) : 225 - 232
  • [49] Sodium-Glucose Cotransporter 2 Inhibitors in the Treatment of Type 2 Diabetes Mellitus
    Vivian, Eva
    DIABETES EDUCATOR, 2015, 41 : 5S - 18S
  • [50] Sodium-glucose Cotransporter Type 2 Inhibitors: A New Insight into the Molecular Mechanisms of Diabetic Nephropathy
    Li, Na
    Zhou, Hong
    CURRENT PHARMACEUTICAL DESIGN, 2022, 28 (26) : 2131 - 2139