Evidence map›Paper›PMID 31717703›Full record

ArticleBiomolecules2019

A Computational Framework for Predicting Direct Contacts and Substructures within Protein Complexes.

Suyu Mei, Kun Zhang

Abstract read
In one paragraph

Article in Biomolecules, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Suyu MeiSoftware College, Shenyang Normal University, Shenyang 110034, China.
Kun ZhangBioinformatics Core of Xavier RCMI Center for Cancer Research, Department of Computer Science, Xavier University of Louisiana, New Orleans, LA 70125, USA.

Funding

STABILITY' (symptomatic review during biologic therapy) Review in Inflammatory Bowel DiseaseP20GM103424 · NIGMS · LOUISIANA STATE UNIV A&M COL BATON ROUGE · PI Konstantin G Kousoulas · 2012 to 2026
$57.4M
Xavier RCMI Renewal Application-Research Infrastructure CoreU54MD007595 · NIMHD · XAVIER UNIVERSITY OF LOUISIANA · PI LaKeisha Williams · 2019 to 2026
$41.9M
NIGMS NIH HHS P20 GM103424NIMHD NIH HHS U54 MD007595
6 · The paper itself

Abstract

Understanding the physical arrangement of subunits within protein complexes potentially provides valuable clues about how the subunits work together and how the complexes function. The majority of recent research focuses on identifying protein complexes as a whole and seldom studies the inner structures within complexes. In this study, we propose a computational framework to predict direct contacts and substructures within protein complexes. In this framework, we first train a supervised learning model of l

Indexed as

Models, TheoreticalProtein Interaction MapsAlgorithmsCluster AnalysisGene OntologyHumanscomplex substructurefunctional clusteringgraph clusteringl2-regularized logistic regressionmachine learningprotein complexes

Identifiers

PMID31717703
PMCPMC6921016

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.