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Record W4240418614 · doi:10.1360/zc2008-38-10-949

H5N1禽流感病毒血凝素基因密码子的变异

2008· article· en· W4240418614 on OpenAlexaff
Mark J. Gibbs, Robert W. Murphy, 泰山医学院生命科学研究所, 中国科学院动物研究所, 北京, 泰山医学院基础医学部, 应用固定效应似然模型研究了作用于 H n, 禽流感病毒血凝素基因的选择 研究发现, 、 东南亚, 且具有相似的非同义突变模式 大部分地区的 H n, 病毒血凝素基因的一些位点受 到正选择压力的影响, 并且其中一些位点在不同地区的病毒中具有不同的氨基酸模 另外, 产生了不同的影响 尽管一些受到正选择压力的位点的功能尚不清楚, 那么导致氨基酸改变的突 择压力作用一组突变体, 变异体倾向 但是在正选择压力作用下, 正选择压力作用可能 也就是说, 亚型流感病毒 Ha, 基因的抗体结合区域也受到了 正选择压力的作用

Bibliographic record

VenueScience in China Series C-Life Sciences (in Chinese) · 2008
Typearticle
Languageen
FieldEngineering
TopicMilitary Technology and Strategies
Canadian institutionsRoyal Ontario Museum
Fundersnot available
KeywordsGeographyBusiness

Abstract

fetched live from OpenAlex

应用固定效应似然模型研究了作用于H5N1禽流感病毒血凝素基因的选择压力. 研究发现, 除2000年以外, 1997~2007年, H5N1病毒的血凝素基因都受到正选择压力的作用. 东南亚、中国香港和中国大陆的血凝素序列氨基酸多态性最复杂, 并且具有相似的非同义突变模式. 大部分地区的H5N1病毒血凝素基因的一些位点受到正选择压力的影响, 并且其中一些位点在不同地区的病毒中具有不同的氨基酸模式. 另外, 正选择压力对分离自欧洲、非洲和俄罗斯以及不同宿主类型的H5N1病毒产生了不同的影响. 一个位点只在取自人类的病毒中被发现受到正选择压力的影响. 尽管一些受到正选择压力的位点的功能尚不清楚, 但是本文的分析提供了H5N1禽流感病毒适应不同时间、地点和寄主的遗传证据.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.070
Threshold uncertainty score0.139

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0040.004
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.013
GPT teacher head0.246
Teacher spread0.233 · 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 designObservational
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
Published2008
Admission routes1
Has abstractyes

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