Molecular Evolution of the Equilibrative Nucleoside Transporter Family: Identification of Novel Family Members in Prokaryotes and Eukaryotes
Bibliographic record
Abstract
Equilibrative nucleoside transporters (ENTs) are integral membrane proteins which enable the movement of hydrophilic nucleosides and nucleoside analogs down their concentration gradients across cell membranes. ENTs were only recently characterized at the molecular level, and little is known about the tertiary structure or distribution of these proteins in nonmammalian organisms. To identify conserved regions, residues, and motifs of ENTs that may indicate functionally important parts of the protein and to better understand the evolutionary history of this protein family, we conducted an exhaustive analysis to characterize and compare ENTs in taxonomically diverse organisms. We have identified novel ENT family members in humans, mice, fish, tunicates, slime molds, and bacteria. This greatly extends our knowledge on the distribution of the ENTs in eukaryotes, and we have identified, for the first time, family members in bacteria. The prokaryote ENTs are attractive models for future studies on transporter tertiary structure and mechanism of substrate translocation. Using sequence similarities, we have identified regions, residues, and motifs that are conserved across all family members. These areas are presumably correlated with function and therefore are important targets for future analysis. Finally, we propose an evolutionary history for the ENT family which clarifies the origin(s) of multiple isoforms in different taxa.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".