Evidence map›Paper›PMID 25253637›Full record

ReviewEuropean journal of medicinal chemistry2015

Structure-based inhibition of protein-protein interactions.

Andrew M Watkins, Paramjit S Arora

Abstract readReview
In one paragraph

Review in European journal of medicinal chemistry, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Review
  2. Reengineering of a Proteomimetic Pan-Ras Inhibitor into a Ras Degrader.Angewandte Chemie (International ed. in English) · 2025
    Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Small-molecule CaProceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  14. An adaptive geometric search algorithm for macromolecular scaffold selection.Protein engineering, design & selection : PEDS · 2018
    Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. Elucidating the druggable interface of protein-protein interactions using fragment docking and coevolutionary analysis.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
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.

Andrew M WatkinsDepartment of Chemistry, New York University, 100 Washington Square East, New York, NY 10003, United States.
Paramjit S AroraDepartment of Chemistry, New York University, 100 Washington Square East, New York, NY 10003, United States. Electronic address: arora@nyu.edu.

Funding

Biomolecular Recognition with Artificial Alpha-HelicesR01GM073943 · NIGMS · NEW YORK UNIVERSITY · PI ARORA, PARAMJIT S · 2005 to 2018
$4.4M
NIGMS NIH HHS R01 GM073943NIGMS NIH HHS R01GM073943
6 · The paper itself

Abstract

Protein-protein interactions (PPIs) are emerging as attractive targets for drug design because of their central role in directing normal and aberrant cellular functions. These interactions were once considered "undruggable" because their large and dynamic interfaces make small molecule inhibitor design challenging. However, landmark advances in computational analysis, fragment screening and molecular design have enabled development of a host of promising strategies to address the fundamental molecular recognition challenge. An attractive approach for targeting PPIs involves mimicry of protein domains that are critical for complex formation. This approach recognizes that protein subdomains or protein secondary structures are often present at interfaces and serve as organized scaffolds for the presentation of side chain groups that engage the partner protein(s). Design of protein domain mimetics is in principle rather straightforward but is enabled by a host of computational strategies that provide predictions of important residues that should be mimicked. Herein we describe a workflow proceeding from interaction network analysis, to modeling a complex structure, to identifying a high-affinity sub-structure, to developing interaction inhibitors. We apply the design procedure to peptidomimetic inhibitors of Ras-mediated signaling.

Indexed as

Drug DesignHumansModels, MolecularMolecular StructurePeptidomimeticsProtein Bindingras ProteinsSignal TransductionPeptidomimeticsras ProteinsComputational toolsInhibitor designPeptidomimeticProtein-protein interactionProtein structure

Identifiers

PMID25253637
PMCPMC4362920

What OpenQuestion holds

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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.