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Record W2490172888

高羊茅FaGF14-A和FaGF14-D基因的克隆与分析

2015· article· zh· W2490172888 on OpenAlexvenueno aff
于二汝, 段丽婕, 吴佳海, 李小冬, 蔡一鸣, Wang Li

Bibliographic record

Venue分子植物育种 · 2015
Typearticle
Languagezh
FieldBiochemistry, Genetics and Molecular Biology
Topic14-3-3 protein interactions
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science
DOInot available

Abstract

fetched live from OpenAlex

植物14-3-3蛋白(GF14蛋白)是一类参与调节植物生命活动过程的小分子蛋白。本研究根据高羊茅转录组学测序获得的Fa GF14-A和Fa GF14-D基因片段,利用RACE技术得到高羊茅Fa GF14-A和Fa GF14-D基因的3’和5’c DNA序列,拼接后的Fa GF14-A基因全长为1 153 bp,编码260个氨基酸;Fa GF14-D基因全长为1 291 bp,编码266个氨基酸。生物信息学分析结果表明高羊茅Fa GF14-A和Fa GF14-D蛋白都具有典型的14-3-3蛋白结构域,包含9个保守的琢-螺旋及不保守的N-末端和C-末端,尤其与禾本科植物GF14蛋白具有较高的相似性,位于同一个进化支上,亲缘关系较近。

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.788
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0000.002

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 head0.026
GPT teacher head0.297
Teacher spread0.270 · 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.

Study designNot applicable
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

Citations0
Published2015
Admission routes1
Has abstractyes

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