Evidence map›Paper›PMID 36011253›Full record

ArticleGenes2022

Web-Based Protein Interactions Calculator Identifies Likely Proteome Coevolution with Alzheimer's Disease-Associated Proteins.

Katrisa M Ward, Brandon D Pickett, Mark T W Ebbert, John S K Kauwe, Justin B Miller

Open access · goldAbstract read
In one paragraph

Article in Genes, 2022. 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
0.1field-weighted citation impact, top 58% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

5 authors at 2 institutions in 1 country.

Katrisa M WardDepartment of Biology, Brigham Young University, Provo, UT 84602, USA.
Brandon D PickettDepartment of Biology, Brigham Young University, Provo, UT 84602, USA.ORCID 0000-0001-8235-4440
Mark T W EbbertSanders-Brown Center on Aging, University of Kentucky, Lexington, KY 40536, USA.
John S K KauweDepartment of Biology, Brigham Young University, Provo, UT 84602, USA.ORCID 0000-0001-8641-2468
Justin B MillerSanders-Brown Center on Aging, University of Kentucky, Lexington, KY 40536, USA.ORCID 0000-0002-5309-1570
Brigham Young University · USUniversity of Kentucky · US

Funding

University of Kentucky Alzheimer's Disease Research CenterP30AG072946 · NIA · UNIVERSITY OF KENTUCKY · PI LINDA J VAN ELDIK · 2021 to 2026
$23.5M
Using long-range technologies as a multi-omic approach to understand Alzheimer’s disease in brain tissueR01AG068331 · NIA · UNIVERSITY OF KENTUCKY · PI EBBERT, MARK T W · 2020 to 2024
$3.0M
Understanding how structural mutations and individual RNA isoformsare involved in human health and diseaseR35GM138636 · NIGMS · UNIVERSITY OF KENTUCKY · PI Mark T W Ebbert · 2020 to 2026
$2.9M
NIA NIH HHS P30 AG072946NIA NIH HHS R01 AG068331NIGMS NIH HHS R35 GM138636
6 · The paper itself

Abstract

Protein-protein functional interactions arise from either transitory or permanent biomolecular associations and often lead to the coevolution of the interacting residues. Although mutual information has traditionally been used to identify coevolving residues within the same protein, its application between coevolving proteins remains largely uncharacterized. Therefore, we developed the Protein Interactions Calculator (PIC) to efficiently identify coevolving residues between two protein sequences using mutual information. We verified the algorithm using 2102 known human protein interactions and 233 known bacterial protein interactions, with a respective 1975 and 252 non-interacting protein controls. The average PIC score for known human protein interactions was 4.5 times higher than non-interacting proteins (

Indexed as

Alzheimer DiseaseProteomeEvolution, MolecularHumansInternetSoftwareProteomeAlzheimer’s diseasecoevolutionmutual informationprotein interactionsprotein interactions calculatorproteomics

Identifiers

PMID36011253
PMCPMC9407263
OpenAlexW4288066994

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.