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1.
J Biomol Struct Dyn ; : 1-17, 2023 Jul 24.
Artigo em Inglês | MEDLINE | ID: mdl-37482792

RESUMO

The present study investigated the phytochemicals and in silico anti-nCoV properties of Piper barberi, an endangered and endemic species of Southern Western Ghats. Using conventional soxhlet extraction method, the leaf and stem were extracted separately with methanol (PBLM and PBSM). The bioactive compounds from the extracts were identified using HR-LCMS/MS-qTOF analysis. These compounds were subjected to various in silico analyses to identify potential drug candidates against nCoV. The HR LCMS/MS analysis of PBLM and PBSM revealed the presence of phenols, flavonoids, alkaloids, and terpenoids in it and this is the first report of the phytoconstituents present in the species P. barberi. All the identified bioactive compounds were subjected to predict ADMET. Out of 49 identified compounds, only 31 passed drug-likeness properties and toxicity tests. Molecular interaction studies were conducted using the AutoDockTools 4.2.6., which showed that only 13 compounds exhibited acceptable binding affinity with the nCoV target Mpro. Structural stability and binding free energy analyses of the five compounds with the higher binding affinity indicated that the bioactive compounds Hetisine and Ajaconine are stable with both hydrogen bonds and hydrophobic interactions. Hetisine shows stable binding among these two compounds with two hydrogen bond interactions with the crucial catalytic dyad residue (His41). Thus, this study concludes that these compounds might potentially be used as an alternative drug candidate for managing nCoV. However, further experimental validation, including in vitro and in vivo assays, is required to substantiate the results.Communicated by Ramaswamy H. Sarma.

2.
J Biomol Struct Dyn ; 41(1): 26-44, 2023 01.
Artigo em Inglês | MEDLINE | ID: mdl-34821205

RESUMO

Leptospirosis is one of the neglected diseases caused by the spirochete, Leptospira interrogans. Leptospiral surface adhesion (Lsa) proteins are surface exposed outer membrane proteins present in the pathogen. It acts as laminin and plasminogen binding proteins which enable them to infect host cells. The major target for the development of vaccine in the current era focuses on surface exposed outer membrane proteins, as they can induce strong and fast immune response in hosts. Therefore, the present study mapped the potential epitopes of the Leptospiral outer membrane proteins, mainly the surface adhesion proteins. Protein sequence analysis of Lsa proteins was done by in silico methods. The primary protein sequence analysis revealed Lsa46 as a suitable target which can be a potent Leptospiral vaccine candidate. Its structure was modelled by threading based method in I-TASSER server and validated by Ramachandran plot. The predicted epitope's interactions with human IgG, IgM(Fab) and T-cell receptor TCR(αß) were performed by molecular docking studies using Biovia Discovery studio 2018. One of the predicted B-cell epitopes and the IgG showed desirable binding interactions, while four of the predicted B-cell epitopes and T-cell epitopes showed desirable binding interactions with IgM and TCR respectively. The molecular dynamic simulation studies carried out with the molecular docked complexes gave minimized energies indicating stable interactions. The structural analysis of the entire simulated complex showed a stable nature except for one of the Epitope-IgM complex. Further the binding free energy calculation of eight receptor-ligand complex predicted them energetically stable. The results of the study help in elucidating the structural and functional characterization of Lsa46 for epitope-based vaccine design.Communicated by Ramaswamy H. Sarma.


Assuntos
Epitopos de Linfócito B , Proteínas de Membrana , Humanos , Mapeamento de Epitopos , Simulação de Acoplamento Molecular , Epitopos de Linfócito T , Imunoglobulina G , Imunoglobulina M , Biologia Computacional/métodos , Vacinas de Subunidades Antigênicas
3.
J Biomol Struct Dyn ; 40(23): 12557-12573, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-34528865

RESUMO

SARS CoV2 is a novel strain of coronavirus, first reported in Wuhan of China, in 2019 and drugs specific to COVID-19 treatment are still lacking. The main protease (3CL) present in the new coronavirus strain is considered a potential drug target due to its role in viral replications. The plant Pittosporum dasycaulon Miq. is a medicinal plant reported to have prominent antimicrobial including antibacterial and antifungal activity. In this study, 12 natural compounds were selected on the basis of major peaks observed in the LC-HRMS analysis of P. dasycaulon aqueous leaves extract (AQLE). The pharmacological properties of the selected compounds against 3CLpro were investigated through in silico studies along with the standard antiviral drugs Lopinavir and Nelfinavir. The molecular docking study was done using Autodock 4.2 tool and visualized using Pymol (1.7.4.5 Edu). The docking analysis revealed that three compounds showed a better binding affinity than the standard drug Lopinavir. To validate the docking interactions, behaviour and stability of protein- ligand complex, molecular dynamics (100 ns) simulations were performed with the four best-ranked bioactive compounds identified through molecular docking analysis namely; Leptinidine, Rutaretin1'-(6″-sinapoylglucoside), Kalambroside A, and 5,7-dimethoxy', 4'methylenedioxyflavanone. The stability of the docking conformation was studied in depth by calculating the binding free energy using MM-PBSA method. Our findings on molecular docking, MD simulations and binding energy calculations suggest that Rutaretin1'-(6''-sinapoylglucoside) could be a potential inhibitor of COVID-19 3CLpro. However, considering the current pandemic situation of COVID-19, further research is required to experimentally validate their potential medicinal use against COVID-19 3CLpro both in vitro and in vivo along with clinical practices. Communicated by Ramaswamy H. Sarma.


Assuntos
COVID-19 , Rosales , Humanos , Tratamento Farmacológico da COVID-19 , Lopinavir , Simulação de Acoplamento Molecular , Simulação de Dinâmica Molecular , Inibidores de Proteases
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