Structural exploration of arylsulfonamide-based ADAM17 inhibitors through validated comparative multi-QSAR modelling studies

被引:12
作者
Baidya, Sandip Kumar [1 ]
Amin, Sk Abdul [1 ]
Banerjee, Suvankar [1 ]
Adhikari, Nilanjan [1 ,2 ]
Jha, Tarun [1 ]
机构
[1] Jadavpur Univ, Dept Pharmaceut Technol, Div Med & Pharmaceut Chem, Nat Sci Lab, POB 17020, Kolkata 700032, W Bengal, India
[2] ADAMAS Univ, Sch Pharmaceut Technol, Barasat Barrackpore Rd,PO Jagannathpur, Kolkata 700126, W Bengal, India
关键词
ADAM17; 2D-QSAR; HQSAR; Bayesian classification; Pharmacophore mapping; Molecular docking; ALPHA-CONVERTING-ENZYME; NECROSIS-FACTOR-ALPHA; TNF-ALPHA; SELECTIVE INHIBITOR; DISINTEGRIN; ADAM-17; CANCER; POTENT; PHARMACOPHORE; OPTIMIZATION;
D O I
10.1016/j.molstruc.2019.02.081
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Zinc-dependent ADAM17 takes part in a number of life-threatening conditions such as inflammatory diseases, cancer, Alzheimer's disease and rheumatoid arthritis. Therefore, ADAM17 may be a valuable target to design specific inhibitors for combating these diseases. In this scenario, it is a challenging task to design specific ADAM17 inhibitors as none of the earlier investigated compounds has come into the market as a potential drug candidate. Here, molecular modelling including 2D-QSAR, HQSAR, Bayesian classification, pharmacophore mapping and molecular docking studies of arylsulfonamides were performed to explore the structural and pharmacophoric requirements for exerting higher ADAM17 inhibitory activity. All these molecular modelling approaches were validated individually and these were statistically significant and reliable. The bulky steric and hydrophobic P1' substituents at the para position of the arylsulfonamido moiety favoured ADAM17 inhibition that supported and validated by molecular docking study. These crucial observations of arylsulfonamides may be considered for designing higher effective ADAM17 inhibitors in future. (C) 2019 Elsevier B.V. All rights reserved.
引用
收藏
页码:128 / 142
页数:15
相关论文
共 58 条
[1]   Exploring in house glutamate inhibitors of matrix metalloproteinase-2 through validated robust chemico-biological quantitative approaches [J].
Adhikari, Nilanjan ;
Amin, Sk Abdul ;
Saha, Achintya ;
Jha, Tarun .
STRUCTURAL CHEMISTRY, 2018, 29 (01) :285-297
[2]   Understanding the structural requirements of cyclic sulfone hydroxyethylamines as hBACE1 inhibitors against Aβ plaques in Alzheimer's disease: a predictive QSAR approach [J].
Ambure, Pravin ;
Roy, Kunal .
RSC ADVANCES, 2016, 6 (34) :28171-28186
[3]   "NanoBRIDGES" software: Open access tools to perform QSAR and nano-QSAR modeling [J].
Ambure, Pravin ;
Aher, Rahul Balasaheb ;
Gajewicz, Agnieszka ;
Puzyn, Tomasz ;
Roy, Kunal .
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 2015, 147 :1-13
[4]   Structural exploration of hydroxyethylamines as HIV-1 protease inhibitors: new features identified [J].
Amin, S. A. ;
Adhikari, N. ;
Bhargava, S. ;
Jha, T. ;
Gayen, S. .
SAR AND QSAR IN ENVIRONMENTAL RESEARCH, 2018, 29 (05) :385-408
[5]   Diverse classes of HDAC8 inhibitors: in search of molecular fingerprints that regulate activity [J].
Amin, Sk Abdul ;
Adhikari, Nilanjan ;
Jha, Tarun .
FUTURE MEDICINAL CHEMISTRY, 2018, 10 (13) :1589-1602
[6]   An integrated QSAR modeling approach to explore the structure-property and selectivity relationships of N-benzoyl-L-biphenylalanines as integrin antagonists [J].
Amin, Sk. Abdul ;
Adhikari, Nilanjan ;
Bhargava, Sonam ;
Gayen, Shovanlal ;
Jha, Tarun .
MOLECULAR DIVERSITY, 2018, 22 (01) :129-158
[7]   An Integrated Multi-QSAR Modeling Approach for Designing Knoevenagel-Type Indoles with Enhancing Cytotoxic Profiles [J].
Amin, Sk. Abdul ;
Adhikari, Nilanjan ;
Jha, Tarun ;
Gayen, Shovanlal .
CURRENT COMPUTER-AIDED DRUG DESIGN, 2017, 13 (04) :336-345
[8]   An integrated ligand-based modelling approach to explore the structure-property relationships of influenza endonuclease inhibitors [J].
Amin, Sk. Abdul ;
Adhikari, Nilanjan ;
Gayen, Shovanlal ;
Jha, Tarun .
STRUCTURAL CHEMISTRY, 2017, 28 (06) :1663-1678
[9]   First molecular modeling report on novel arylpyrimidine kynurenine monooxygenase inhibitors through multi-QSAR analysis against Huntington's disease: A proposal to chemists! [J].
Amin, Sk. Abdul ;
Adhikari, Nilanjan ;
Jha, Tarun ;
Gayen, Shovanlal .
BIOORGANIC & MEDICINAL CHEMISTRY LETTERS, 2016, 26 (23) :5712-5718
[10]  
[Anonymous], 2013, SCHRCDING SUIT