Evidence map›Paper›PMID 31333706›Full record

ArticleFrontiers in plant science2019

AraPPINet: An Updated Interactome for the Analysis of Hormone Signaling Crosstalk in

Jiawei Zhao, Yu Lei, Jianwei Hong, Cunjian Zheng, Lida Zhang

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Article in Frontiers in plant science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Jiawei ZhaoDepartment of Plant Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China.
Yu LeiDepartment of Plant Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China.
Jianwei HongDepartment of Plant Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China.
Cunjian ZhengDepartment of Plant Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China.
Lida ZhangDepartment of Plant Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein-protein interactions (PPIs) play fundamental roles in various cellular processes. Here, we present a new version of computational interactome that contains more than 345,000 predicted PPIs involving about 51.2% of the Arabidopsis proteins. Compared to the earlier version, the updated AraPPINet displays a higher accuracy in predicting protein interactions through performance evaluation with independent datasets. In addition to the experimental verifications of the previous version, the new version has been subjected to further validation test that demonstrates its ability to discover novel PPIs involved in hormone signaling pathways. Moreover, network analysis shows that many overlapping proteins are significantly involved in the interactions which mediated the crosstalk among plant hormones. The new version of AraPPINet provides a more reliable interactome which would facilitate the understanding of crosstalk among hormone signaling pathways in plants.

Indexed as

Arabidopsis thalianacomputational interactomeplant hormone crosstalkprotein-protein interaction networkrandom forest

Identifiers

PMID31333706
PMCPMC6625390

What OpenQuestion holds

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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.