A 2022 Update on Computational Approaches to the Discovery and Design of Antimicrobial Peptides-Reference-Cited by-同舟云学术

A 2022 Update on Computational Approaches to the Discovery and Design of Antimicrobial Peptides

Published:2023-06-05 Issue:6 Volume:12 Page:1011
ISSN:2079-6382
Container-title:Antibiotics
language:en
Short-container-title:Antibiotics

Author:

Agüero-Chapin Guillermin¹²^ORCID,Antunes Agostinho¹²^ORCID,Marrero-Ponce Yovani³⁴^ORCID

Affiliation:

1. CIIMAR/CIMAR, Interdisciplinary Centre of Marine and Environmental Research, University of Porto, 4450-208 Porto, Portugal

2. Department of Biology, Faculty of Sciences, University of Porto, 4169-007 Porto, Portugal

3. Universidad San Francisco de Quito (USFQ), Grupo de Medicina Molecular y Traslacional (MeM&T), Colegio de Ciencias de la Salud (COCSA), Escuela de Medicina, Edificio de Especialidades Médicas, Diego de Robles y vía Interoceánica, Quito 170157, Pichincha, Ecuador

4. Departamento de Ciencias de la Computación, Centro de Investigación Científica y de Educación Superior de Ensenada (CICESE), Ensenada 22860, Baja California, Mexico

Abstract

The antimicrobial resistance process has been accelerated by the over-prescription and misuse of antibiotics [...]

Funder

national funds through FCT—Foundation for Science and Technology of Portugal

USFQ Collaboration

Publisher

MDPI AG

Subject

Pharmacology (medical),Infectious Diseases,Microbiology (medical),General Pharmacology, Toxicology and Pharmaceutics,Biochemistry,Microbiology

Link

https://www.mdpi.com/2079-6382/12/6/1011/pdf

Reference10 articles.

1. Aguero-Chapin, G., Galpert-Canizares, D., Dominguez-Perez, D., Marrero-Ponce, Y., Perez-Machado, G., Teijeira, M., and Antunes, A. (2022). Emerging Computational Approaches for Antimicrobial Peptide Discovery. Antibiotics, 11.

2. Ruiz-Blanco, Y.B., Aguero-Chapin, G., Romero-Molina, S., Antunes, A., Olari, L.R., Spellerberg, B., Munch, J., and Sanchez-Garcia, E. (2022). ABP-Finder: A Tool to Identify Antibacterial Peptides and the Gram-Staining Type of Targeted Bacteria. Antibiotics, 11.

3. Avila-Barrientos, L.P., Cofas-Vargas, L.F., Aguero-Chapin, G., Hernandez-Garcia, E., Ruiz-Carmona, S., Valdez-Cruz, N.A., Trujillo-Roldan, M., Weber, J., Ruiz-Blanco, Y.B., and Barril, X. (2022). Computational Design of Inhibitors Targeting the Catalytic beta Subunit of Escherichia coli F(O)F(1)-ATP Synthase. Antibiotics, 11.

4. Romero, M., Marrero-Ponce, Y., Rodriguez, H., Aguero-Chapin, G., Antunes, A., Aguilera-Mendoza, L., and Martinez-Rios, F. (2022). A Novel Network Science and Similarity-Searching-Based Approach for Discovering Potential Tumor-Homing Peptides from Antimicrobials. Antibiotics, 11.

5. Lin, D., Sutherland, D., Aninta, S.I., Louie, N., Nip, K.M., Li, C., Yanai, A., Coombe, L., Warren, R.L., and Helbing, C.C. (2022). Mining Amphibian and Insect Transcriptomes for Antimicrobial Peptide Sequences with rAMPage. Antibiotics, 11.

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