The W232R Suppressor Mutation Promotes Maturation of a Truncation Mutant Lacking both Nucleotide-Binding Domains and Restores Interdomain Assembly and Activity of P-glycoprotein Processing Mutants
Bibliographic record
Abstract
ATP-binding cassette (ABC) proteins contain two nucleotide-binding domains (NBDs) and two transmembrane (TM) domains (TMDs). Interdomain interactions and packing of the TM segments are critical for function, and disruption by genetic mutations contributes to disease. P-glycoprotein (P-gp) is a useful model to identify mechanisms that repair processing defects because numerous arginine suppressor mutations have been identified in the TM segments. Here, we tested the prediction that a mechanism of arginine rescue was to promote intradomain interactions between TM segments and restore interdomain assembly. We found that suppressor W232R(TM4/TMD1) rescued mutants with processing mutations in any domain and restored defective NBD1-NBD2, NBD1-TMD2, and TMD1-TMD2 interactions. W232R also promoted packing of the TM segments because it rescued a truncation mutant lacking both NBDs. The mechanism of W232R rescue likely involved intradomain hydrogen bond interactions with Asn296(TM5) since only N296A abolished rescue by W232R and rescue was only observed when Trp232 was replaced with hydrogen-bonding residues. In TMD2, suppressor T945R(TM11) also promoted packing of the TM segments because it rescued the truncation mutant lacking the NBDs and suppressed formation of alternative topologies. We propose that T945R rescue was mediated by interactions with Glu875(TM10) since T945E/E875R promoted maturation while T945R/E875A did not.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 |
| 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".