Evidence map›Paper›PMID 28815022›Full record

ArticleBMC biophysics2017

Modeling of RAS complexes supports roles in cancer for less studied partners.

H Billur Engin, Daniel Carlin, Dexter Pratt, Hannah Carter

Open access · hybridAbstract read
In one paragraph

Article in BMC biophysics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

10 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Ras, PI3K and mTORC2 - three's a crowd?Journal of cell science · 2020
    Review
  8. Article
  9. Article
  10. Review
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 at 1 institution in 1 country.

H Billur EnginDivision of Medical Genetics, Department of Medicine, Universsity of California, San Diego, 9500 Gilman Dr., La Jolla, CA 92093 USA.
Daniel CarlinDivision of Medical Genetics, Department of Medicine, Universsity of California, San Diego, 9500 Gilman Dr., La Jolla, CA 92093 USA.
Dexter PrattDivision of Medical Genetics, Department of Medicine, Universsity of California, San Diego, 9500 Gilman Dr., La Jolla, CA 92093 USA.
Hannah CarterDivision of Medical Genetics, Department of Medicine, Universsity of California, San Diego, 9500 Gilman Dr., La Jolla, CA 92093 USA.
University of California San Diego · US

Funding

Network approaches to identify cancer drivers from high-dimensional tumor dataDP5OD017937 · OD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CARTER, HANNAH KATHRYN · 2013 to 2017
$1.9M
NIH HHS DP5 OD017937
6 · The paper itself

Abstract

backgroundRAS protein interactions have predominantly been studied in the context of the RAF and PI3kinase oncogenic pathways. Structural modeling and X-ray crystallography have demonstrated that RAS isoforms bind to canonical downstream effector proteins in these pathways using the highly conserved switch I and II regions. Other non-canonical RAS protein interactions have been experimentally identified, however it is not clear whether these proteins also interact with RAS via the switch regions.

resultsTo address this question we constructed a RAS isoform-specific protein-protein interaction network and predicted 3D complexes involving RAS isoforms and interaction partners to identify the most probable interaction interfaces. The resulting models correctly captured the binding interfaces for well-studied effectors, and additionally implicated residues in the allosteric and hyper-variable regions of RAS proteins as the predominant binding site for non-canonical effectors. Several partners binding to this new interface (SRC, LGALS1, RABGEF1, CALM and RARRES3) have been implicated as important regulators of oncogenic RAS signaling. We further used these models to investigate competitive binding and multi-protein complexes compatible with RAS surface occupancy and the putative effects of somatic mutations on RAS protein interactions.

conclusionsWe discuss our findings in the context of RAS localization to the plasma membrane versus within the cytoplasm and provide a list of RAS protein interactions with possible cancer-related consequences, which could help guide future therapeutic strategies to target RAS proteins.

Indexed as

Allosteric regionCancerEffector lobeHypervariable regionProtein interaction interfaceProtein-protein interactionProtein structureRASTumor suppressor interaction

Identifiers

PMID28815022
PMCPMC5558186
OpenAlexW2743616226

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.