Bibliographic record
Abstract
線虫には約 150 種類の N 型糖鎖の存在が判明している。本稿では，無脊椎動物に多く存在し，脊椎動物にないパウチマンノース型 N-グリカンの合成と機能について考察する。線虫の糖鎖はフコシル化とホスフォリルコリン付加により，多様性を呈しており，ホスフォリルコリンは多くの病原菌において抗原決定基として知られている。パウチマンノース型 N-グリカンの合成には，UDP-GlcNAc:α3-D-マンノシド β1,2-N-アセチルグルコサミン転移酵素（GnTI, Mgat1 遺伝子によってコードされる）反応が先行する。線虫では，GnTI に 3 つのアイソザイム（GLY-12, GLY-13, GLY-14）がある。それぞれのアイソザイムは標的蛋白質が異なっており，線虫の病原菌に対する防御において異なった機能を持つ。線虫における GnTI 標的蛋白質の同定により，無脊椎動物及び脊椎動物の感染防御における GnTI 標的糖蛋白質の機能が明らかになるものと期待される。
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".