Evidence map›Paper›PMID 22831787›Full record

ReviewExpert reviews in molecular medicine2012

Features of protein-protein interactions that translate into potent inhibitors: topology, surface area and affinity.

Matthew C Smith, Jason E Gestwicki

Abstract readReview
In one paragraph

Review in Expert reviews in molecular medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 142 papers.

0numbers the graph read from it
0cells of the map it votes in
142citing papers in PubMed
18.5field-weighted citation impact, top 1% of its field
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

142 citing papers in PubMed, 283 citations in OpenAlex.

  1. Review
  2. Article
  3. Novel Peptide-Triazole Conjugates: Strategic Synthesis, Antimicrobial Properties, and Molecular Docking Study.Journal of peptide science : an official publication of the European Peptide Society · 2026
    Article
  4. AI-Enforced Ultra-Large Virtual Screening Discovers Potent CD28 Binders.Journal of chemical information and modeling · 2026
    Article
  5. Review
  6. In Silico Druggability Assessment ofAntibiotics (Basel, Switzerland) · 2026
    Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Hot-Spot-Guided Generative Deep Learning for Drug-Like PPI Inhibitor Design.Interdisciplinary sciences, computational life sciences · 2026
    Article
  13. Review
  14. Article
  15. VNpj viruses · 2025
    Article
  16. Small molecules targeting the eubacterial β-sliding clamp discovered by combinedJournal of enzyme inhibition and medicinal chemistry · 2025
    Article
  17. Article
  18. Review
  19. Article
  20. Article

82 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

2 authors at 1 institution in 1 country.

Matthew C SmithDepartment of Pathology, University of Michigan, Ann Arbor, USA.
Jason E Gestwicki
University of Michigan–Ann Arbor · US

Funding

Research Training in BiogerontologyT32AG000114 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SCOTT PLETCHER · 1985 to 2026
$12.4M
Molecular Chaperones and Small MoleculesR01NS059690 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jason E Gestwicki · 2008 to 2026
$7.9M
Natural Product-Inspired Method for Enhancing HIV Protease InhibitorsR21AI098431 · NIAID · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GESTWICKI, JASON E · 2012 to 2013
$424k
TUMOR INDUCED IMMUNOSUPPRESSIONZ01AG000114 · NIA · AGING · PI LONGO, DAN L. · 2000 to 2007
$241k
Intramural NIH HHS Z01 AG000114NIAID NIH HHS R21 AI098431NIA NIH HHS T32 AG000114NINDS NIH HHS NS059690NINDS NIH HHS R01 NS059690
6 · The paper itself

Abstract

Protein-protein interactions (PPIs) control the assembly of multi-protein complexes and, thus, these contacts have enormous potential as drug targets. However, the field has produced a mix of both exciting success stories and frustrating challenges. Here, we review known examples and explore how the physical features of a PPI, such as its affinity, hotspots, off-rates, buried surface area and topology, might influence the chances of success in finding inhibitors. This analysis suggests that concise, tight binding PPIs are most amenable to inhibition. However, it is also clear that emerging technical methods are expanding the repertoire of 'druggable' protein contacts and increasing the odds against difficult targets. In particular, natural product-like compound libraries, high throughput screens specifically designed for PPIs and approaches that favour discovery of allosteric inhibitors appear to be attractive routes. The first group of PPI inhibitors has entered clinical trials, further motivating the need to understand the challenges and opportunities in pursuing these types of targets.

Indexed as

Allosteric RegulationAnimalsHumansProtein BindingProteinsSurface PropertiesProteins

Identifiers

PMID22831787
PMCPMC3591511
OpenAlexW2138380905

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.