In silico design of novel quinazoline-based compounds as potential Mycobacterium tuberculosis PknB inhibitors through 2D and 3D-QSAR, molecular dynamics simulations combined with pharmacokinetic predictions

被引:8
作者
Hanwarinroj, Chayanin [1 ]
Thongdee, Paptawan [1 ]
Sukchit, Darunee [1 ]
Taveepanich, Somjintana [1 ]
Kamsri, Pharit [2 ]
Punkvang, Auradee [2 ]
Ketrat, Sombat [3 ]
Saparpakorn, Patchreenart [4 ]
Hannongbua, Supa [4 ]
Suttisintong, Khomson [5 ]
Kittakoop, Prasat [6 ,7 ,8 ]
Spencer, James [9 ]
Mulholland, Adrian J. [10 ]
Pungpo, Pornpan [1 ,11 ]
机构
[1] Ubon Ratchathani Univ, Fac Sci, Dept Chem, Ubon Ratchathani 34190, Thailand
[2] Nakhon Phanom Univ, Fac Sci, Div Chem, Nakhon Phanom 48000, Thailand
[3] Vidyasirimedhi Inst Sci & Technol, Sch Informat Sci & Technol, Rayong 21210, Thailand
[4] Kasetsart Univ, Fac Sci, Dept Chem, Bangkok 10900, Thailand
[5] NSTDA, Natl Nanotechnol Ctr, Pathum Thani 12120, Thailand
[6] Chulabhorn Res Inst, Bangkok 10210, Thailand
[7] Chulabhorn Royal Acad, Chulabhorn Grad Inst, Chem Biol Program, Bangkok 10210, Thailand
[8] Minist Higher Educ Sci Res & Innovat, Ctr Excellence Environm Hlth & Toxicol EHT, OPS, Bangkok 10210, Thailand
[9] Univ Bristol, Sch Cellular & Mol Med, Biomed Sci Bldg, Bristol BS8 1TD, England
[10] Univ Bristol, Ctr Computat Chem, Sch Chem, Bristol BS8 1TS, England
[11] Ubon Ratchathani Univ, Fac Sci, Dept Chem, Ubon Ratchathani, Thailand
基金
英国工程与自然科学研究理事会; 英国生物技术与生命科学研究理事会;
关键词
Tuberculosis; PknB inhibitors; HQSAR; 3D-QSAR CoMSIA; Binding energy; MD simulations; KINASE B PKNB; CONFORMATIONAL ENERGIES; DRUG DISCOVERY; DERIVATIVES; BINDING; WELL; ACTIVATION; AFFINITY; RECEPTOR; DOCKING;
D O I
10.1016/j.jmgm.2022.108231
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Serine/threonine protein kinase B (PknB) is essential to Mycobacterium tuberculosis (M. tuberculosis) cell division and metabolism and a potential anti-tuberculosis drug target. Here we apply Hologram Quantitative Structure Activity Relationship (HQSAR) and three-dimensional QSAR (Comparative Molecular Similarity Indices Analysis (CoMSIA)) methods to investigate structural requirements for PknB inhibition by a series of previously described quinazoline derivatives. PknB binding of quinazolines was evaluated by molecular dynamics (MD) simulations of the catalytic domain and binding energies calculated by Molecular Mechanics/Poisson Boltzmann Surface Area (MM-PBSA) and Molecular Mechanics/Generalized Born Surface Area (MM-GBSA) methods. Evaluation of a training set against experimental data showed both HQSAR and CoMSIA models to reliably predict quinazoline binding to PknB, and identified the quinazoline core and overall hydrophobicity as the major contributors to affinity. Calculated binding energies also agreed with experiment, and MD simulations identified hydrogen bonds to Glu93 and Val95, and hydrophobic interactions with Gly18, Phe19, Gly20, Val25, Thr99 and Met155, as crucial to PknB binding. Based on these results, additional quinazolines were designed and evaluated in silico, with HQSAR and CoMSIA models identifying sixteen compounds, with predicted PknB binding superior to the template, whose activity spectra and physicochemical, pharmacokinetic, and anti -M. tuberculosis properties were assessed. Compound, D060, bearing additional ortho- and meta-methyl groups on its R2 substituent, was superior to template regarding PknB inhibition and % caseum fraction unbound, and equivalent in other aspects, although predictions identified hepatotoxicity as a likely issue with the quinazoline series. These data provide a structural basis for rational design of quinazoline derivatives with more potent PknB inhibitory activity as candidate antituberculosis agents.
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页数:19
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