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Record W2885587021 · doi:10.1080/15592324.2018.1503498

The Arabidopsis Mitogen-Activated Protein Kinase Kinase Kinase 20 (MKKK20) C-terminal domain interacts with MKK3 and harbors a typical DEF mammalian MAP kinase docking site

2018· article· en· W2885587021 on OpenAlexafffund
Fangwen Bai, Daniel P. Matton

Bibliographic record

VenuePlant Signaling & Behavior · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant-Microbe Interactions and Immunity
Canadian institutionsUniversité de Montréal
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsBimolecular fluorescence complementationMAP kinase kinase kinaseBiologyMitogen-activated protein kinase kinaseCyclin-dependent kinase 9ArabidopsisCell biologyASK1MAP2K7c-RafMitogen-activated protein kinaseCyclin-dependent kinase 2KinaseProtein kinase AProtein kinase domainMAPK cascadeBiochemistryYeastGene

Abstract

fetched live from OpenAlex

Mitogen-activated protein kinase (MAPKs) constitute a major component in plant cellular signaling considering the sheer number of MAPKKKKs, MAPKKKs, MAPKKs and MAPKs when compared to yeast and animal systems. Nevertheless, only few complete MAPK cascades have been deciphered and the same hold true for their substrates. Furthermore, cascades often share kinase components, but little is known about their specific interactions and domains. The Arabidopsis thaliana MAP kinase kinase kinase 20 (MKKK20) was recently showed to interact with MKK3 and MPK18 in two non-complementary signaling cascades involved in root cortical microtubule functions. Here, MKKK20 and MKK3 proteins where dissected and tested in yeast two-hybrid assays followed by an in planta validation through bimolecular fluorescence complementation (BiFC) assays and showed that the MKKK20 C-terminal region interacted with MKK3 that comprised a typical DEF domain akin to MAPKs docking domains.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
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)0.0020.002

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 head0.018
GPT teacher head0.230
Teacher spread0.212 · 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 source (direct Gemma or distilled Codex), 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

Citations12
Published2018
Admission routes2
Has abstractyes

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