Revisiting Cystic Fibrosis Transmembrane Conductance Regulator Structure and Function
Bibliographic record
Abstract
The cystic fibrosis transmembrane conductance regulator (CFTR) is a channel/enzyme which mediates passive diffusion of chloride and bicarbonate through epithelial cell membranes. It is expressed in many cell types throughout the body, but in the airways it is found mainly in secretory serous cells of the submucosal glands. CFTR belongs to a large super-family of ATP binding cassette transporters that have two nucleotide binding domains with characteristic sequences or "motifs". Although most other ATP binding cassette transporters consume ATP to actively transport various substrates, in CFTR the interactions of ATP with nucleotide binding domains control opening and closing of the channel pore (i.e., channel gating). Recent high resolution structures of bacterial nucleotide binding domains combined with new biochemical and electrophysiological studies of CFTR itself have led to major advances in our understanding of CFTR gating. For example, it is now clear that the ATPase activity of CFTR is not strictly required for its channel activity. CFTR has at least two distinct gating modes; one dependent on hydrolysis and the other requiring only stable ATP binding. In this article we discuss a working hypothesis for CFTR that incorporates these recent findings and discuss some interesting implications of the paradigm shift for other aspects of CFTR function and dysfunction.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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".