Evidence map›Paper›PMID 30615604›Full record

ArticlePLoS computational biology2019

Protein-protein binding supersites.

Raji Viswanathan, Eduardo Fajardo, Gabriel Steinberg, Matthew Haller, Andras Fiser

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

12 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Computational prediction of multiple antigen epitopes.Bioinformatics (Oxford, England) · 2024
    Article
  3. Review
  4. Assessing the functional impact of protein binding site definition.Protein science : a publication of the Protein Society · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Challenges in protein docking.Current opinion in structural biology · 2020
    Review
  11. Review
  12. 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

5 authors at 2 institutions in 1 country.

Raji ViswanathanDepartment of Chemistry, Yeshiva University, New York, NY, United States of America.
Eduardo FajardoDepartments of Systems & Computational Biology, and Biochemistry, Albert Einstein College of Medicine, Bronx, NY, United States of America.
Gabriel SteinbergDepartment of Chemistry, Yeshiva University, New York, NY, United States of America.
Matthew HallerDepartment of Chemistry, Yeshiva University, New York, NY, United States of America.
Andras FiserDepartments of Systems & Computational Biology, and Biochemistry, Albert Einstein College of Medicine, Bronx, NY, United States of America.ORCID 0000-0003-0085-5335
Yeshiva University · USAlbert Einstein College of Medicine · US

Funding

Molecular basis of recognition in the Immunological SynapseR35GM136357 · NIGMS · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI FISER, ANDRAS · 2020 to 2024
$2.7M
Molecular basis of receptor-ligand recognition in the Immunological SynapseR01GM118709 · NIGMS · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI FISER, ANDRAS · 2016 to 2019
$2.3M
Interdisciplinary protein engineering approach to design high affinity antibodies for flavivirusesR01AI141816 · NIAID · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI FISER, ANDRAS · 2019 to 2023
$2.1M
NIAID NIH HHS R01 AI141816NIGMS NIH HHS R01 GM118709NIGMS NIH HHS R35 GM136357
6 · The paper itself

Abstract

The lack of a deep understanding of how proteins interact remains an important roadblock in advancing efforts to identify binding partners and uncover the corresponding regulatory mechanisms of the functions they mediate. Understanding protein-protein interactions is also essential for designing specific chemical modifications to develop new reagents and therapeutics. We explored the hypothesis of whether protein interaction sites serve as generic biding sites for non-cognate protein ligands, just as it has been observed for small-molecule-binding sites in the past. Using extensive computational docking experiments on a test set of 241 protein complexes, we found that indeed there is a strong preference for non-cognate ligands to bind to the cognate binding site of a receptor. This observation appears to be robust to variations in docking programs, types of non-cognate protein probes, sizes of binding patches, relative sizes of binding patches and full-length proteins, and the exploration of obligate and non-obligate complexes. The accuracy of the docking scoring function appears to play a role in defining the correct site. The frequency of interaction of unrelated probes recognizing the binding interface was utilized in a simple prediction algorithm that showed accuracy competitive with other state of the art methods.

Indexed as

ProteinsAlgorithmsBinding SitesComputational BiologyDatabases, ProteinMolecular Docking SimulationProtein BindingProtein ConformationROC CurveProteins

Identifiers

PMID30615604
PMCPMC6336348
OpenAlexW2909293488

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.