Aldose reductase inhibitors for diabetic complications: Receptor induced atom-based 3D-QSAR analysis, synthesis and biological evaluation

被引:10
|
作者
Vyas, Bhawna [1 ]
Singh, Manjinder [2 ]
Kaur, Maninder [2 ]
Bahia, Malkeet Singh [2 ]
Jaggi, Amteshwar Singh [3 ]
Silakari, Om [2 ]
Singh, Baldev [1 ]
机构
[1] Punjabi Univ, Dept Chem, Patiala 147002, Punjab, India
[2] Punjabi Univ, Dept Pharmaceut Sci & Drug Res, Mol Modeling Lab, Patiala 147002, Punjab, India
[3] Punjabi Univ, Dept Pharmaceut Sci & Drug Res, Div Pharmacol, Patiala 147002, Punjab, India
关键词
Atom-based; 3D-QSAR; Docking analysis; Aldose reductase (ALR2); Flavonoid derivatives; Diabetic complications; RESOLUTION DRUG DESIGN; TYROSINE KINASE SYK; DIFFERENTIAL INHIBITION; SELECTIVE INHIBITORS; CRYSTAL-STRUCTURE; POLYOL PATHWAY; QSAR; DERIVATIVES; DOCKING; PHARMACOPHORE;
D O I
10.1016/j.jmgm.2015.03.005
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Herein, atom-based 3D-QSAR analysis was performed using receptor-guided alignment of 46 flavonoid inhibitors of aldose reductase (ALR2) enzyme. 3D-QSAR models were generated in PHASE programme, and the best model corresponding to PLS factor four (QSAR(4)), was selected based on different statistical parameters (i.e., R-train(2), 0.96; Q(test)(2) 0.81; SD, 0.26). The contour plots of different structural properties generated from the selected model were utilized for the designing of five new congener molecules. These designed molecules were duly synthesized, and evaluated for their in vitro ALR2 inhibitory activity that resulted in the micromolar (IC50 < 22 mu M) activity of all molecules. Thus, the newly designed molecules having ALR inhibitory potential could be employed for the management of diabetic complications. (C) 2015 Elsevier Inc. All rights reserved.
引用
收藏
页码:59 / 71
页数:13
相关论文
共 50 条
  • [31] Pharmacophore modelling, atom-based 3D-QSAR generation and virtual screening of molecules projected for mPGES-1 inhibitory activity
    Misra, S.
    Saini, M.
    Ojha, H.
    Sharma, D.
    Sharma, K.
    SAR AND QSAR IN ENVIRONMENTAL RESEARCH, 2017, 28 (01) : 17 - 39
  • [32] Validation of Formylchromane Derivatives as Protein Tyrosine Phosphatase 1B Inhibitors by Pharmacophore Modeling, Atom-Based 3D-QSAR and Docking Studies
    Malla, Priyanka
    Kumar, Rajnish
    Kumar, Manoj
    CHEMICAL BIOLOGY & DRUG DESIGN, 2013, 82 (01) : 71 - 80
  • [33] 3D-QSAR assisted identification of FABP4 inhibitors: An effective scaffold hopping analysis/QSAR evaluation
    Floresta, Giuseppe
    Cilibrizzi, Agostino
    Abbate, Vincenzo
    Spampinato, Ambra
    Zagni, Chiara
    Rescifina, Antonio
    BIOORGANIC CHEMISTRY, 2019, 84 : 276 - 284
  • [34] Identification of Novel IRAK-4 Inhibitors Through Pharmacophore Modeling, Atom-based 3D-QSAR, Docking Strategies and Molecular Dynamics Simulation
    Zhong, Liangliang
    Zhou, Lu
    Tian, Yahui
    You, Rong
    LETTERS IN DRUG DESIGN & DISCOVERY, 2016, 13 (09) : 879 - 887
  • [35] In vivo evaluation and atom-based 3D-QSAR studies on saponins from shells of Xanthoceras sorbifolium Bunge as anti-AD agents
    Chen, Gang
    Xie, Yumeng
    Zhou, Di
    Yang, Lei
    Zou, Libo
    Cheng, Maosheng
    Liu, Yang
    Li, Ning
    BIOORGANIC CHEMISTRY, 2020, 94
  • [36] Pharmacophore generation, atom-based 3D-QSAR, HQSAR and activity cliff analyses of benzothiazine and deazaxanthine derivatives as dual A2A antagonists/MAO-B inhibitors
    Bhayye, S. S.
    Roy, K.
    Saha, A.
    SAR AND QSAR IN ENVIRONMENTAL RESEARCH, 2016, 27 (03) : 183 - 202
  • [37] Integrating Atom-Based 3D-QSAR, Molecular Docking, and Molecular Dynamics: A Multistep Approach for the Discovery of Potent Adenosine A2A Receptor Antagonists
    Sudevan, Sachithra Thazhathuveedu
    Chandran, Namitha
    Radhakrishnan, Vishnu Vasanthi
    Bindra, Sandeep
    Presanna, Aneesh Thankappan
    Maliyakkal, Naseer
    Abdelgawad, Mohamed A.
    El-Ghorab, Ahmed H.
    Selim, Samy
    Trisciuzzi, Daniela
    Gambacorta, Nicola
    Nicolotti, Orazio
    Mathew, Bijo
    CHEMISTRYSELECT, 2025, 10 (12):
  • [38] 6D-QSAR for predicting biological activity of human aldose reductase inhibitors using quasar receptor surface modeling
    Sokouti, Babak
    Hamzeh-Mivehroud, Maryam
    BMC CHEMISTRY, 2023, 17 (01)
  • [39] Identification of potential tumour-associated carbonic anhydrase isozyme IX inhibitors: atom-based 3D-QSAR modelling, pharmacophore-based virtual screening and molecular docking studies
    Kumar, Avinash
    Rathi, Ekta
    Kini, Suvarna G.
    JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS, 2020, 38 (07) : 2156 - 2170
  • [40] Pharmacophoric Modeling and Atom-Based 3D-QSAR of Novel 1-Aryl-3-(1-acylpiperidin-4-yl) Urea as Human Soluble Epoxide Hydrolase Inhibitors (sEHIs)
    Das, Nirupam
    Dhanawat, Meenakshi
    Kulshrestha, Akanksha
    Shrivastava, Sushant K.
    MEDICINAL CHEMISTRY, 2011, 7 (06) : 581 - 592