iMRSAPred: Improved Prediction of Anti-MRSA Peptides Using Physicochemical and Pairwise Contact-Energy Properties of Amino Acids.

Journal

ACS omega
ISSN: 2470-1343
Titre abrégé: ACS Omega
Pays: United States
ID NLM: 101691658

Informations de publication

Date de publication:
16 Jan 2024
Historique:
received: 22 10 2023
revised: 06 12 2023
accepted: 13 12 2023
medline: 22 1 2024
pubmed: 22 1 2024
entrez: 22 1 2024
Statut: epublish

Résumé

Methicillin-resistant

Identifiants

DOI: 10.1021/acsomega.3c08303 PMID: 38250405 PMC: PMC10795061
pubmed: 38250405
doi: 10.1021/acsomega.3c08303
pmc: PMC10795061
doi:

Types de publication

Journal Article

Langues

eng

Pagination

2874-2883

Informations de copyright

© 2024 The Authors. Published by American Chemical Society.

Déclaration de conflit d'intérêts

The authors declare no competing financial interest.

Auteurs

Muhammad Arif (M)

College of Science and Engineering, Hamad Bin Khalifa University, Doha 34110, Qatar.

Ge Fang (G)

State Key Laboratory for Organic Electronics and Information Displays, Institute of Advanced Materials (IAM), Nanjing University of Posts Telecommunications 9 Wenyuan Road, Nanjing 210023, P. R. China.
Center for Research Innovation and Biomedical Informatics, Faculty of Medical Technology, Mahidol University, Bankok 10700, Thailand.

Huma Fida (H)

Department of Microbiology, Abdul Wali Khan University, Mardan 23200, KPK, Pakistan.

Saleh Musleh (S)

College of Science and Engineering, Hamad Bin Khalifa University, Doha 34110, Qatar.

Dong-Jun Yu (DJ)

School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210023, China.
ORCID: 0000-0002-6786-8053

Tanvir Alam (T)

College of Science and Engineering, Hamad Bin Khalifa University, Doha 34110, Qatar.
ORCID: 0000-0001-7033-3693

Classifications MeSH