Evidence map›Paper›PMID 27267699›Full record

ReviewTrends in pharmacological sciences2016

Systematic Targeting of Protein-Protein Interactions.

Ashley E Modell, Sarah L Blosser, Paramjit S Arora

Abstract readReview
In one paragraph

Review in Trends in pharmacological sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers.

0numbers the graph read from it
0cells of the map it votes in
86citing papers in PubMed
–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

86 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Review
  7. Article
  8. Article
  9. In Silico Analysis of Potential Stabilizer Binding Sites at Protein-RNA Interfaces.Computational and structural biotechnology journal · 2026
    Article
  10. Article
  11. Reengineering of a Proteomimetic Pan-Ras Inhibitor into a Ras Degrader.Angewandte Chemie (International ed. in English) · 2025
    Article
  12. Review
  13. Article
  14. Pharmaceuticals (Basel, Switzerland) · 2024
    Article
  15. Review
  16. Article
  17. Review
  18. Review
  19. Article
  20. Article

26 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

3 authors.

Ashley E Modell *Department of Chemistry, New York University, New York, NY 10003, USA.
Sarah L Blosser *Department of Chemistry, New York University, New York, NY 10003, USA.
Paramjit S AroraDepartment of Chemistry, New York University, New York, NY 10003, USA.

Funding

Biomolecular Recognition with Artificial Alpha-HelicesR01GM073943 · NIGMS · NEW YORK UNIVERSITY · PI ARORA, PARAMJIT S · 2005 to 2018
$4.4M
NIGMS NIH HHS R01 GM073943
6 · The paper itself

Abstract

Over the past decade, protein-protein interactions (PPIs) have gone from being neglected as 'undruggable' to being considered attractive targets for the development of therapeutics. Recent advances in computational analysis, fragment-based screening, and molecular design have revealed promising strategies to address the basic molecular recognition challenge: how to target large protein surfaces with specificity. Several systematic and complementary workflows have been developed to yield successful inhibitors of PPIs. Here we review the major contemporary approaches utilized for the discovery of inhibitors and focus on a structure-based workflow, from the selection of a biological target to design.

Indexed as

AnimalsBiomimetic MaterialsDrug DesignHumansMolecular Targeted TherapyProtein Interaction MapsProteinsStructure-Activity RelationshipProteinsfragment-based designinhibitorsprotein-domain mimicsprotein–protein interactionsrational designscreening

Identifiers

PMID27267699
PMCPMC4961577

What OpenQuestion holds

Textmetadata
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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.