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Record W4313208468 · doi:10.47743/jpd.2022.29.1.917

INVESTIGATING PROTEIN PARTNERS OF ATMKK1 AS PART OF THE MAPK SIGNALING PATHWAY DURING SALT STRESS

2022· article· en· W4313208468 on OpenAlexaff
Frances Vivienne Armas, Tim Xing

Bibliographic record

VenueJournal of Plant Development · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant Gene Expression Analysis
Canadian institutionsCarleton University
Fundersnot available
KeywordsProtein kinase AArabidopsis thalianaBiologySignal transductionUpstream and downstream (DNA)ArabidopsisCell biologyKinaseMAPK/ERK pathwayComputational biologyUpstream (networking)GeneticsComputer scienceGene

Abstract

fetched live from OpenAlex

Mitogen-activated protein kinase cascades are one of the many systems that allow plants to survive and defend themselves against pathogens and other environmental stresses. Numerous scientific investigations rendered insights to molecular signaling pathways that take place in an event of a stress such as soil salinity. Despite the known functions and locations of proteins that play a role in these pathways, very little is known about upstream protein partners. In this paper, we elucidate biological functions and molecular locations of Arabidopsis thaliana MKK1 protein through data mining predominantly from STRING and BAR databases. Results revealed AtMEKK1 and CRLK1 as upstream protein partners. In addition, AtMKK2 was further analyzed as a redundant protein to AtMKK1.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.342

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.014
GPT teacher head0.231
Teacher spread0.217 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2022
Admission routes1
Has abstractyes

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