ReviewMethods in molecular biology (Clifton, N.J.)2022
Computational Tools and Strategies to Develop Peptide-Based Inhibitors of Protein-Protein Interactions.
Review in Methods in molecular biology (Clifton, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed.
- Mechanistic design of cell-penetrating disruptors for phospho-dependent TACC3-CHC interaction.Structure (London, England : 1993) · 2026Article
- InversePep: Diffusion-driven structure-based inverse folding for functional peptides.Briefings in bioinformatics · 2026Article
- Simulation-guided design of peptide-metal coordination interfaces for next-generation metallo-immunotherapy.Nano convergence · 2026Review
- The antimicrobial peptide EM86 loaded to gamma-irradiated sodium alginate/polyvinyl alcohol electrospun nanofibrous dressing treated multidrug-resistantFrontiers in bioengineering and biotechnology · 2026Article
- Towards a Holistic Understanding of the Interactions of Redox-Active Proteins.Antioxidants (Basel, Switzerland) · 2024Article
- Molecular Integrative Study on Inhibitory Effects of Pentapeptides on Polymerization and Cell Toxicity of Amyloid-β Peptide (1-42).Current issues in molecular biology · 2024Article
- Inhibition of ACE2-S Protein Interaction by a Short Functional Peptide with a Boomerang Structure.Molecules (Basel, Switzerland) · 2024Article
- Computational simulations of bispecific T cell engagers by a multiscale model.Biophysical journal · 2024Article
- Accelerating the Discovery and Design of Antimicrobial Peptides with Artificial Intelligence.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Computational design of BclxL inhibitors that target transmembrane domain interactions.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Nanoparticles in association with antimicrobial peptides (NanoAMPs) as a promising combination for agriculture development.Frontiers in molecular biosciences · 2022Review
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Protein-protein interactions play crucial and subtle roles in many biological processes and modifications of their fine mechanisms generally result in severe diseases. Peptide derivatives are very promising therapeutic agents for modulating protein-protein associations with sizes and specificities between those of small compounds and antibodies. For the same reasons, rational design of peptide-based inhibitors naturally borrows and combines computational methods from both protein-ligand and protein-protein research fields. In this chapter, we aim to provide an overview of computational tools and approaches used for identifying and optimizing peptides that target protein-protein interfaces with high affinity and specificity. We hope that this review will help to implement appropriate in silico strategies for peptide-based drug design that builds on available information for the systems of interest.
Indexed as
Identifiers
35298816What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.