Computer-Aided Strategy on 5-(Substituted benzylidene) Thiazolidine-2,4-Diones to Develop New and Potent PTP1B Inhibitors: QSAR Modeling, Molecular Docking, Molecular Dynamics, PASS Predictions, and DFT Investigations

被引:4
作者
Derki, Nour-El Houda [1 ]
Kerassa, Aicha [1 ,2 ]
Belaidi, Salah [2 ]
Derki, Maroua [1 ]
Yamari, Imane [3 ]
Samadi, Abdelouahid [4 ]
Chtita, Samir [3 ]
机构
[1] Univ El Oued, Fac Sci, VTRS Lab, POB 789, El Oued 39000, Algeria
[2] Univ Biskra, Lab Mol Chem & Environm, Grp Computat & Med Chem, POB 145, Biskra 07000, Algeria
[3] Hassan II Univ Casablanca, Fac Sci Ben MSik, Lab Analyt & Mol Chem, POB 7955, Sidi Othman, Casablanca, Morocco
[4] UAEU, Coll Sci, Dept Chem, POB 15551, Al Ain, U Arab Emirates
关键词
thiazolidine-2,4-diones; PTP1B inhibitors; QSAR; docking; molecular dynamics; ADMET; PASS predication; DFT; IN-SILICO; DERIVATIVES; VALIDATION; LIKENESS; DESIGN; ADMET;
D O I
10.3390/molecules29040822
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
A set of 5-(substituted benzylidene) thiazolidine-2,4-dione derivatives was explored to study the main structural requirement for the design of protein tyrosine phosphatase 1B (PTP1B) inhibitors. Utilizing multiple linear regression (MLR) analysis, we constructed a robust quantitative structure-activity relationship (QSAR) model to predict inhibitory activity, resulting in a noteworthy correlation coefficient (R2) of 0.942. Rigorous cross-validation using the leave-one-out (LOO) technique and statistical parameter calculations affirmed the model's reliability, with the QSAR analysis revealing 10 distinct structural patterns influencing PTP1B inhibitory activity. Compound 7e(ref) emerged as the optimal scaffold for drug design. Seven new PTP1B inhibitors were designed based on the QSAR model, followed by molecular docking studies to predict interactions and identify structural features. Pharmacokinetics properties were assessed through drug-likeness and ADMET studies. After that density functional theory (DFT) was conducted to assess the stability and reactivity of potential diabetes mellitus drug candidates. The subsequent dynamic simulation phase provided additional insights into stability and interactions dynamics of the top-ranked compound 11c. This comprehensive approach enhances our understanding of potential drug candidates for treating diabetes mellitus.
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页数:26
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