The Walker B motif of the second nucleotide-binding domain (NBD2) of CFTR plays a key role in ATPase activity by the NBD1–NBD2 heterodimer
Bibliographic record
Abstract
CFTR (cystic fibrosis transmembrane conductance regulator), a member of the ABC (ATP-binding cassette) superfamily of membrane proteins, possesses two NBDs (nucleotide-binding domains) in addition to two MSDs (membrane spanning domains) and the regulatory 'R' domain. The two NBDs of CFTR have been modelled as a heterodimer, stabilized by ATP binding at two sites in the NBD interface. It has been suggested that ATP hydrolysis occurs at only one of these sites as the putative catalytic base is only conserved in NBD2 of CFTR (Glu1371), but not in NBD1 where the corresponding residue is a serine, Ser573. Previously, we showed that fragments of CFTR corresponding to NBD1 and NBD2 can be purified and co-reconstituted to form a heterodimer capable of ATPase activity. In the present study, we show that the two NBD fragments form a complex in vivo, supporting the utility of this model system to evaluate the role of Glu1371 in ATP binding and hydrolysis. The present studies revealed that a mutant NBD2 (E1371Q) retains wild-type nucleotide binding affinity of NBD2. On the other hand, this substitution abolished the ATPase activity formed by the co-purified complex. Interestingly, introduction of a glutamate residue in place of the non-conserved Ser573 in NBD1 did not confer additional ATPase activity by the heterodimer, implicating a vital role for multiple residues in formation of the catalytic site. These findings provide the first biochemical evidence suggesting that the Walker B residue: Glu1371, plays a primary role in the ATPase activity conferred by the NBD1-NBD2 heterodimer.
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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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".