Evolutionary Analysis of Human Vascular Endothelial Growth Factor, Angiopoietin, and Tyrosine Endothelial Kinase Involved in Angiogenesis and Immunity
Bibliographic record
Abstract
Human vascular endothelial growth factor (VEGF), angiopoietin (ANG) and tyrosine kinase with immunoglobulin and epidermal growth factor homology domains (TIE)-2 consist of a grouping of proteins that are involved in vascular homeostasis, vascular integrity and angiogenesis. There are nine proteins in the immediate VEGF family: VEGFA, VEGFB, VEGFC, VEGFD, VEGF-3, placental growth factor (PGF), VEGF receptor (VEGFR)-1, VEGFR-2, and VEGFR-1-related. They can be stimulated by cytokines to become involved in immune responses. By using in silico tools, we were able to identify several possible analogues or homologues of VEGF, ANG and TIE-2 in invertebrates. This is the first report to show that these proteins may be conserved through evolution. These proteins may have a role in vascular maintenance and immunity. In addition, since VEGF, ANG and TIE-2 have a role in mammalian immunity that is significantly influenced by cytokines, such as IL-1, this may indicate an interaction of the vascular system and the immune system over evolutionary time.
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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 | 0.000 |
| 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 | 0.000 | 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".