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Record W2007151272 · doi:10.5376/mpb.cn.2012.10.0051

普通油茶泛素结合酶(E2S)的蛋白质结构分析

2012· article· zh· W2007151272 on OpenAlexvenueno aff
林萍

Bibliographic record

Venue分子植物育种 · 2012
Typearticle
Languagezh
FieldAgricultural and Biological Sciences
TopicPolysaccharides and Plant Cell Walls
Canadian institutionsnot available
Fundersnot available
KeywordsEnvironmental science

Abstract

fetched live from OpenAlex

泛素结合酶(E2)是泛素/26S蛋白酶体途径中三个关键酶之一,在靶蛋白识别、与泛素连接酶(E3)互作等蛋白的泛素依赖性水解和N-末端规则依赖性水解途径的关键环节中起重要作用。本研究采用Solexa测序技术获得了一条油茶E2的全长cDNA序列,命名为UBE2S,该基因编码270AA,与其它物种的E2具有较高的一致性和相似性,UBE2S蛋白具有泛素结合酶催化位点(UBCc),第13~145位氨基酸碱基为其泛素结合酶基因家族的保守区域,第79~127位氨基酸残基区域中有21个残基与泛素形成硫酯键中间产物的残基,其中94位的半胱氨酸残基是活性位点,有5个残基是与E3酶相互作用的位点。UBE2S具有C端延伸结构,所以在普通油茶E2基因家族中属于Ⅱ类E2。

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)0.001
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0030.003
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.003

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 head0.031
GPT teacher head0.218
Teacher spread0.188 · 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

Citations0
Published2012
Admission routes1
Has abstractyes

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