Evidence map›Paper›PMID 35521542›Full record

ArticleComputational and structural biotechnology journal2022

A rice protein interaction network reveals high centrality nodes and candidate pathogen effector targets.

Bharat Mishra, Nilesh Kumar, M Shahid Mukhtar

Open access · goldAbstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
4.0field-weighted citation impact, top 7% 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

17 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Improving plant breeding through AI-supported data integration.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Review
  4. Article
  5. Review
  6. Article
  7. Article
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  9. Article
  10. Protein-Protein Interaction Network Exploration Using Cytoscape.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  11. Building Protein-Protein Interaction Graph Database Using Neo4j.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  12. Protein-Protein Interaction Network Exploration Using Cytoscape.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  13. Protein-Protein Interaction Network Analysis Using NetworkX.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  14. Article
  15. Article
  16. Article
  17. 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

3 authors at 1 institution in 1 country.

Bharat MishraDepartment of Biology, University of Alabama at Birmingham, 1300 University Blvd., Birmingham, AL 35294, USA.
Nilesh KumarDepartment of Biology, University of Alabama at Birmingham, 1300 University Blvd., Birmingham, AL 35294, USA.
M Shahid MukhtarDepartment of Biology, University of Alabama at Birmingham, 1300 University Blvd., Birmingham, AL 35294, USA.
University of Alabama at Birmingham · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Network science identifies key players in diverse biological systems including host-pathogen interactions. We demonstrated a scale-free network property for a comprehensive rice protein-protein interactome (RicePPInets) that exhibits nodes with increased centrality indices. While weighted

Indexed as

AI-1MAIN, Arabidopsis interactome-1 MAINBB, bacterial blightBC, betweenness centralityBiotic stressBLS, bacterial leaf streakEAI, effector-activated immunityEAS, effector-activated susceptibilityEC, eigenvector centralityETI, effector-triggered immunityETS, effector-triggered susceptibilityFDR, False discovery rateGEO, gene expression omnibusGRN, gene-regulatory networkIC, information centralityInfectionInteractomeOryzaePlant-pathogen interactionsPPI, protein-protein interactionPrioritizationPTI, pattern-triggered immunityRDP, degree-preserving random networkRicePPInets, Rice protein-protein interaction networkRIXIN, rice-Xanthomonas interactomeRXICoNet, rice-Xanthomonas interaction co-expression networkT3S, type III secretion systemTAL, transcription activator-likeWGCNA, weighted co-expression network analysisXoc, Xanthomonas oryzae pv. oryzicolaXoo, Xanthomonas oryzae pv. oryzae

Identifiers

PMID35521542
PMCPMC9062363
OpenAlexW4224291130

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.