Identification of potential inhibitors targeting yellow fever virus helicase through ligand and structure-based computational studies.

InfiniSee S-adenosyl-l-cysteine SeeSAR Yellow fever helicase pharmacophore

Journal

Journal of biomolecular structure & dynamics
ISSN: 1538-0254
Titre abrégé: J Biomol Struct Dyn
Pays: England
ID NLM: 8404176

Informations de publication

Date de publication:
18 Dec 2023
Historique:
medline: 18 12 2023
pubmed: 18 12 2023
entrez: 18 12 2023
Statut: aheadofprint

Résumé

Yellow fever is a flavivirus having plus-sensed RNA which encodes a single polyprotein. Host proteases cut this polyprotein into seven nonstructural proteins including a vital NS3 protein. The present study aims to identify the most effective inhibitor against the helicase (NS3) using different advanced ligand and structure-based computational studies. A set of 300 ligands was selected against helicase by chemical structural similarity model, which are similar to

Identifiants

pubmed: 38109183
doi: 10.1080/07391102.2023.2294839
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1-18

Auteurs

Sumera Zaib (S)

Department of Basic and Applied Chemistry, Faculty of Science and Technology, University of Central Punjab, Lahore, Pakistan.

Nehal Rana (N)

Department of Basic and Applied Chemistry, Faculty of Science and Technology, University of Central Punjab, Lahore, Pakistan.

Hafiz Saqib Ali (HS)

Chemistry Research Laboratory, Department of Chemistry and the INEOS Oxford Institute for Antimicrobial Research, University of Oxford, Oxford, UK.

Mujeeb Ur Rehman (M)

Department of Basic and Applied Chemistry, Faculty of Science and Technology, University of Central Punjab, Lahore, Pakistan.

Nasser S Awwad (NS)

Department of Chemistry, King Khalid University, Abha, Saudi Arabia.

Hala A Ibrahium (HA)

Biology Department, Faculty of Science, King Khalid University, Abha, Saudi Arabia.

Imtiaz Khan (I)

Manchester Institute of Biotechnology, The University of Manchester, Manchester, UK.

Classifications MeSH