Evidence map›Paper›PMID 26119925›Full record

ReviewAngewandte Chemie (International ed. in English)2015

Structure-Based Design of Inhibitors of Protein-Protein Interactions: Mimicking Peptide Binding Epitopes.

Marta Pelay-Gimeno, Adrian Glas, Oliver Koch, Tom N Grossmann

Abstract readReview
In one paragraph

Review in Angewandte Chemie (International ed. in English), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 293 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
293citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

293 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Virtual screening and experimental validation of a METTL3-targeting peptide withJournal of enzyme inhibition and medicinal chemistry · 2026
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  11. RSC advances · 2026
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  20. Computational Pipeline for Accelerating the Design of Glycomimetics.Journal of chemical information and modeling · 2025
    Article

233 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Marta Pelay-GimenoChemical Genomics Centre of the Max Planck Society, Otto-Hahn-Strasse 15, 44227 Dortmund (Germany).
Adrian GlasChemical Genomics Centre of the Max Planck Society, Otto-Hahn-Strasse 15, 44227 Dortmund (Germany).
Oliver KochTU Dortmund University, Department of Chemistry and Chemical Biology, Otto-Hahn-Strasse 6, 44227 Dortmund (Germany).
Tom N GrossmannChemical Genomics Centre of the Max Planck Society, Otto-Hahn-Strasse 15, 44227 Dortmund (Germany). tom.grossmann@cgc.mpg.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein-protein interactions (PPIs) are involved at all levels of cellular organization, thus making the development of PPI inhibitors extremely valuable. The identification of selective inhibitors is challenging because of the shallow and extended nature of PPI interfaces. Inhibitors can be obtained by mimicking peptide binding epitopes in their bioactive conformation. For this purpose, several strategies have been evolved to enable a projection of side chain functionalities in analogy to peptide secondary structures, thereby yielding molecules that are generally referred to as peptidomimetics. Herein, we introduce a new classification of peptidomimetics (classes A-D) that enables a clear assignment of available approaches. Based on this classification, the Review summarizes strategies that have been applied for the structure-based design of PPI inhibitors through stabilizing or mimicking turns, β-sheets, and helices.

Indexed as

EpitopesModels, MolecularPeptidesPeptidomimeticsProtein Interaction Domains and MotifsProtein Structure, SecondarySignal TransductionEpitopesPeptidesPeptidomimeticsinhibitorspeptidespeptidomimeticsprotein-protein interactions

Identifiers

PMID26119925
PMCPMC4557054

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Registered trials

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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 OpenQuestion graph.