Evidence map›Paper›PMID 38352912›Full record

ArticleBioinformation2024

Leave-one-out-analysis (LOOA): web-based tool to predict influential proteins and interactions in aggregate-crosslinking proteomic data.

Nirjal Mainali, Meenakshisundaram Balasubramaniam, Jay Johnson, Srinivas Ayyadevara, Robert J Shmookler Reis

Open access · hybridAbstract read
In one paragraph

Article in Bioinformation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 24% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Effect of Roux-en-Y Gastric Bypass and Sleeve Gastrectomy on Male Sexual Function: A Systematic Review and Meta-Analysis.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
    Pooled it
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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 1 institution in 1 country.

Nirjal MainaliBioinformatics Program, University of Arkansas for Medical Sciences and University of Arkansas at Little Rock, Little Rock, AR, 72205, USA.
Meenakshisundaram BalasubramaniamDepartment of Geriatrics, Reynolds Institute on Aging, University of Arkansas for Medical Sciences, Little Rock, AR, 72205, USA.
Jay JohnsonBioinformatics Program, University of Arkansas for Medical Sciences and University of Arkansas at Little Rock, Little Rock, AR, 72205, USA.
Srinivas AyyadevaraDepartment of Geriatrics, Reynolds Institute on Aging, University of Arkansas for Medical Sciences, Little Rock, AR, 72205, USA.
Robert J Shmookler ReisDepartment of Geriatrics, Reynolds Institute on Aging, University of Arkansas for Medical Sciences, Little Rock, AR, 72205, USA.
University of Arkansas at Little Rock · US

Funding

THE APOE-APP AXIS IN ALZHEIMER PATHOGENESISP01AG012411 · NIA · UNIV OF ARKANSAS FOR MED SCIS · PI GRIFFIN, SUE TILTON · 1995 to 2020
$25.0M
Inference of Common Pathways Underlying Neurodegeneration & Other Age-Progressive DiseasesR01AG062254 · NIA · UNIV OF ARKANSAS FOR MED SCIS · PI AYYADEVARA, SRINIVAS, SHMOOKLER REIS, ROBERT JOSEPH · 2018 to 2022
$1.9M
Analysis and Therapy of Age-Dependent Proteostasis Failure in NeurodegenerationI01BX001655 · VA · CENTRAL ARKANSAS VETERANS HLTHCARE SYS · PI SHMOOKLER REIS, ROBERT JOSEPH · 2013 to 2022
–
BLR&D Research Career Scientist AwardIK6BX004851 · VA · CENTRAL ARKANSAS VETERANS HLTHCARE SYS · PI Robert Joseph Shmookler Reis · 2020 to 2026
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BLRD VA I01 BX001655BLRD VA I01 BX006445BLRD VA IK6 BX004851NIA NIH HHS P01 AG012411NIA NIH HHS R01 AG062254
6 · The paper itself

Abstract

Many age-progressive diseases are accompanied by (and likely caused by) the presence of protein aggregation in affected tissues. Protein aggregates are conjoined by complex protein-protein interactions, which remain poorly understood. Knowledge of the proteins that comprise aggregates, and their adherent interfaces, can be useful to identify therapeutic targets to treat or prevent pathology, and to discover small molecules for disease interventions. We present web-based software to evaluate and rank influential proteins and protein-protein interactions based on graph modelling of the cross linked aggregate interactome. We have used two network-graph-based techniques: Leave-One-Vertex-Out (LOVO) and Leave-One-Edge-Out (LOEO), each followed by dimension reduction and calculation of influential vertices and edges using Principal Components Analysis (PCA) implemented as an R program. This method enables researchers to quickly and accurately determine influential proteins and protein-protein interactions present in their aggregate interactome data.

Identifiers

PMID38352912
PMCPMC10859942
OpenAlexW4391649007

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.