Diversity and Relatedness Among the Type I Interferons
Bibliographic record
Abstract
Type I interferons (IFNs) include the IFN-alpha family of subtypes, IFN-beta, IFN-omega, IFN-tau, IFN-kappa, IFN-lambda, and IFN-zeta. IFN genes lack introns and encode secretory signal peptide sequences that are proteolytically cleaved prior to secretion from the cell. In contrast to the approximately 50% amino acid sequence identity among the human IFN-alpha subtypes, human IFN-alphas share approximately 22% identity with human IFN-beta and 37% identity with human IFN-omega. Many of the conserved residues among the type I IFNs are implicated in receptor recognition and structural integrity. This report provides an update on the gene annotations for the mouse and human IFN gene clusters on chromosome 4 and 9, respectively, with accompanying amino acid sequence alignments. Based on sequence identities, a phylogenic tree analysis for the different mammalian Type I IFNs is also presented, showing the high degree of relatedness among these IFNs. Notably, sequence alignment of the different human and mouse IFN promoter regions reveals different signature patterns for transcription factor binding sites, implying different inducers might differentially activate the transcription of the different IFNs.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".