Computational-aided design: minimal peptide sequence to block dengue virus transmission into cells.


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:
07 2022
Historique:
pubmed: 1 1 2021
medline: 2 7 2022
entrez: 31 12 2020
Statut: ppublish

Résumé

Dengue virus (DV) infection is one of the main public health concerns, affecting approximately 390 million people worldwide, as reported by the World Health Organization. Yet, there is no antiviral treatment for DV infection. Therefore, the development of potent and nontoxic anti-DV, as a complement for the existing treatment strategies, is urgently needed. Herein, we investigate a series of small peptides inhibitors of DV antiviral activity targeting the entry process as the promising strategy to block DV infection. The peptides were designed based on our previously reported peptide sequence, DN58opt (TWWCFYFCRRHHPFWFFYRHN), to identify minimal effective inhibitory sequence through molecular docking and dynamics studies. The

Identifiants

pubmed: 33382015
doi: 10.1080/07391102.2020.1866074
doi:

Substances chimiques

Antiviral Agents 0
Peptides 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

5026-5035

Auteurs

Aathe Cangaree Arumugam (AC)

Faculty of Science, Department of Chemistry, DDDRG, Universiti Malaya, Kuala Lumpur, Malaysia.

Fatima Ezzahra Agharbaoui (FE)

Faculty of Science, Department of Chemistry, DDDRG, Universiti Malaya, Kuala Lumpur, Malaysia.

Ahmad Suhail Khazali (AS)

Faculty of Medicine, Department of Molecular Medicine, Universiti Malaya, Kuala Lumpur, Malaysia.
Faculty of Applied Sciences, Universiti Teknologi Mara, Arau, Perlis, Malaysia.

Rohana Yusof (R)

Faculty of Medicine, Department of Molecular Medicine, Universiti Malaya, Kuala Lumpur, Malaysia.

Noorsaadah Abd Rahman (N)

Faculty of Science, Department of Chemistry, DDDRG, Universiti Malaya, Kuala Lumpur, Malaysia.

Abdullah Al Hadi Ahmad Fuaad (AAH)

Faculty of Science, Department of Chemistry, DDDRG, Universiti Malaya, Kuala Lumpur, Malaysia.

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Classifications MeSH