Molecular docking and dynamics simulation study of quinones and pyrones from Alternaria solani and Alternaria alternata with HSP90: an important therapeutic target of cancer

被引:3
作者
Karthik, H. N. [1 ]
Sharma, Pranav Murali [2 ]
Garampalli, Rajkumar H. [1 ]
机构
[1] Univ Mysore, Dept Studies Bot, Mysore, Karnataka, India
[2] Univ Mysore, Dept Studies Chem, Mysore, Karnataka, India
关键词
Alternaria; molecular docking; molecular dynamics; 17-AAG; Macrosporin; Altersolanol B; Fonsecin; Neoaltenuene; HSP90; PROTEIN; 90; HSP90; IN-VITRO; NATURAL-PRODUCTS; FORCE-FIELD; ALOE-EMODIN; GELDANAMYCIN; METABOLITES; INHIBITION; EXPRESSION; GENERATION;
D O I
10.1080/07391102.2023.2191141
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
Although cancer continues to be one of the world's major causes of death, current cancer drugs have many serious side effects. There remains a need for new anticancer agents to overcome these shortcomings. Alternaria is one of the most widespread fungal genera, many species of which produce several classes of metabolites with potential polypharmacological activities. A few quinones and pyrones from Alternaria spp. have proven to exert cytotoxic effects against certain cancer cell lines, but their molecular mode of action is not known. The current study aimed to investigate the potential mechanisms that underlie the anticancer activity of a few selected quinones and pyrones from Alternaria solani and Alternaria alternata by molecular docking and dynamic simulation approaches. The selected metabolites were screened for their binding affinity to Heat shock protein 90 (HSP90), which is a known anticancer drug target. Molecular docking studies have revealed that Macrosporin, Altersolanol B, Fonsecin, and Neoaltenuene have good binding affinities with the target protein and the stabilities of the formed complexes were evaluated through molecular dynamics simulations. By analyzing the Root Mean Square Distance (RMSD), Root Mean Square Fluctuation (RMSF), and Principal Component Analysis (PCA) plots obtained from molecular dynamics simulations, this study shows that the complexes of all 4 lead molecules with target protein are stable over a 100 ns period. Molecular Mechanics Poisson-Boltzmann Surface Area (MM-PBSA) calculations were used to compute the binding free energies. The lead molecules were studied using in-silico analysis to determine their drug-likeness based on their Absorption, Distribution, Metabolism, Excretion and Toxicity (ADMET) and physicochemical properties. The results demonstrate that Macrosporin, Fonsecin, and Neoaltenuene could become promising anticancer molecules that target HSP90.Communicated by Ramaswamy H. Sarma
引用
收藏
页码:14744 / 14756
页数:13
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