Computational and experimental analysis reveals a novel Src family kinase in the C. elegans genome
Bibliographic record
Abstract
MOTIVATION: The complete genomes of a number of organisms have already been sequenced. However, the vast majority of annotated genes are derived by gene prediction methods. It is important to not only validate the predicted coding regions but also to identify genes that may have been missed by these programs. METHODS: We searched the entire C.elegans genomic sequence database maintained by the Sanger Center using human c-Src sequence in a TBLASN search. We have confirmed one of the predicted regions by isolation of a cDNA and carried out a phylogenetic analysis of Src kinase family members in the worm, fly and several vertebrate species. RESULTS: Our analysis identified a novel tyrosine kinase in the C.elegans genome that contains functional features typical of the Src family kinases that we have designated as Src-1. The open reading frame contains a conserved N-terminal myristoylation site and a tyrosine residue within the C-terminus that is crucial for regulating the activity of Src kinases. Our phylogenetic analysis of Src family members from C. elegans, Drosophila and other higher organisms revealed a relationship among Src kinases from C. elegans and Drosophila.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".