Your browser doesn't support javascript.
loading
Molecular insights on bioactive compounds againstCovid-19: A Network pharmacological and computational study.
Jeevanandam, Jayanth; Paramasivam, Esackimuthu; Palanisamy, Anbumathi; Ragavendran, Srikanth; Thangavel, Saraswathi Nambiappan.
Afiliação
  • Jeevanandam J; Molecular Biophysics lab, School of Chemical and Biotechnology, SASTRA Deemed to- be University, Thanjavur-613401, Tamilnadu, India.
  • Paramasivam E; Molecular Biophysics lab, School of Chemical and Biotechnology, SASTRA Deemed to- be University, Thanjavur-613401, Tamilnadu, India.
  • Palanisamy A; Department of Biotechnology, NIT Warangal,Telangana 506004, India.
  • Ragavendran S; TATA-Realty Data science lab, School of Humanity and Science, SASTRA Deemed to-be University, Thanjavur-613401, Tamilnadu, India.
  • Thangavel SN; School of Humanity and Science, SASTRA Deemed to-be University, Thanjavur-613401, Tamilnadu, India.
Article em En | MEDLINE | ID: mdl-36111763
BACKGROUND: Network pharmacology based identification of phytochemicals in the form of cocktails against off-targets can play a significant role in inhibition of SARS_CoV2 viral entry and its propagation. This study includes network pharmacology, virtual screening, docking and molecular dynamics to investigate the distinct antiviral mechanisms of effective phytochemicals against SARS_CoV2. METHODS: SARS_CoV2 human-protein interaction network was explored from the BioGRID database and analysed using Cytoscape. Further analysis was performed to explore biological function, protein-phytochemical/drugs network and up-down regulation of pathological host target proteins. This lead to understand the antiviral mechanism of phytochemicals against SARS_CoV2. The network was explored through g:Profiler, EnrichR, CTD, SwissTarget, STITCH, DrugBank, BindingDB, STRING and SuperPred. Virtual screening of phytochemicals against potential antiviral targets such as M-Pro, NSP1, Receptor binding domain, RNA binding domain, and ACE2 discloses the effective interaction between them. Further, the binding energy calculations through simulation of the docked complex explains the efficiency and stability of the interactions. RESULTS: The network analysis identified quercetin, genistein, luteolin, eugenol, berberine, isorhamnetin and cinnamaldehyde to be interacting with host proteins ACE2, DPP4, COMT, TUBGCP3, CENPF, BRD2 and HMOX1 which are involved in antiviral mechanisms such as viral entry, viral replication, host immune response, and antioxidant activity. Thus indicating that herbal cocktails can effectively tackle the viral hijacking of the crucial biological functions of human host. Further exploration through Virtual screening, docking and molecular dynamics recognizes the effective interaction of phytochemicals such as punicalagin, scutellarin, and solamargine with their respective potential targets. CONCLUSION: This work illustrates probable strategy for identification of phytochemical based cocktails and off-targets which are effective against SARS_CoV 2.
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article