Main methods and tools for peptide development based on protein-protein interactions (PPIs)
Open accessPublished version of a preprint
Abstract
Protein-protein interactions (PPIs) regulate essential physiological and pathological processes. Due to their large and shallow binding surfaces, PPIs are often considered challenging drug targets for small molecules. Peptides offer a viable alternative, as they can bind these targets, acting as regulators or mimicking interaction partners. This review focuses on competitive peptides, a class of orthosteric modulators that disrupt PPI formation. We provide a concise yet comprehensive overview of recent advancements in in-silico peptide design, highlighting computational strategies that have improved the efficiency and accuracy of PPI-targeting peptides. Additionally, we examine cutting-edge experimental methods for evaluating PPI-based peptides. By exploring the interplay between computational design and experimental validation, this review presents a structured framework for developing effective peptide therapeutics targeting PPIs in various diseases.
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- Authors
- Baeza, J., Bedoya, M., Cruz, P., Ojeda, P., Adasme-Carreño, F., Cerda, O., & González, W.
- Affiliations
- Universidad de Talca (CL)
- Catholic University of the Maule (CL)
- Millennium Nucleus of Ion Channel Associated Diseases (CL)
- Universidad San Sebastián (CL)
- Corresponding author
- Bedoya, Mauricio
- Cerda, Oscar
- González, Wendy
- ORCID
- Venue
- Biochemical and Biophysical Research Communications
- Publisher
- Elsevier BV
- Published
- 2025-04
- Volume
- 758
- Pages
- 151623
- ISSN
- 0006-291X (ISSN-L)
- OpenAlex
- W4408482958
- Cited by
- 8
- References
- 10
- Citations by year
- 2026: 5 · 2025: 3
- FWCI
- 0.71
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Licence
- Locations
- Biochemical and Biophysical Research Communications (publishedVersion)
- ChemRxiv (acceptedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Funders
- Fondo Nacional de Desarrollo Científico y Tecnológico
- National Agency for Research and Development (SIA 2021 SA772100091, 21210923, 1240633, 11220738, 1230446)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Chemical Synthesis and Analysis
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Keywords
- protein-protein interaction, peptide therapeutics, computational peptide design, in silico peptide design
- MeSH terms
- Animals, Humans, Peptides, Protein Binding, Proteins, Drug Design, Protein Interaction Mapping, Protein Interaction Maps
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