The Aryl Hydrocarbon Receptor Nuclear Translocator (ARNT) Family of Proteins: Transcriptional Modifiers with Multi-Functional Protein Interfaces
Bibliographic record
Abstract
The basic Helix-Loop-Helix/PER-ARNT-SIM (bHLH-PAS) domain family of transcription factors mediates cellular responses to a variety of internal and external stimuli. As functional transcription factors, these proteins act as bHLH-PAS heterodimers and can be further sub-classified into sensory/activated subunits and regulatory or ARNT-like proteins. This class of proteins act as master regulators of the bHLH-PAS superfamily of transcription factors that mediate circadian rhythm gene programs, innate and adaptive immune responses, oxygen-sensing mechanisms and compensate for deleterious environmental exposures. Some contribute to the etiology of human pathologies including cancer because of their effects on cell growth and metabolism. We will review the canonical roles of ARNT and ARNT-like proteins with an emphasis on coactivator selectivity and recruitment. We will also discuss recent advances in our understanding of noncanonical DNA-binding independent or off-target roles of ARNT that are uncoupled from its classic heterodimeric bHLH-PAS binding partners. Understanding the DNA binding-independent functions of ARNT may identify novel therapeutic options for the treatment of a large spectrum of disease states.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.004 |
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".