The GABAA Receptor α1 Subunit Pro174–Asp191 Segment Is Involved in GABA Binding and Channel Gating
Bibliographic record
Abstract
The GABA-binding site undergoes structural rearrangements during the transition from agonist binding to channel opening. To define possible roles of the GABA(A) receptor alpha(1) subunit Pro(174)-Asp(191) segment in these processes, we used the substituted cysteine accessibility method to characterize this region. Each residue was individually mutated to cysteine, expressed with wild-type beta(2) subunits in Xenopus laevis oocytes, and examined using two-electrode voltage clamp. Most mutations did not alter GABA EC(50) values. The D183C mutation produced a 7-fold reduction in GABA sensitivity. There were no significant changes in the K(I) values for the competitive antagonist, SR-95531. N-Biotinylaminoethyl methanethiosulfonate modified P174C-, R176C-, S177C-, V178C-, V180C-, A181C-, D183C-, R186C- and N188C-containing receptors. The pattern of accessibility suggests that this protein segment is aqueous-exposed and adopts a random coil conformation. Both GABA and SR-95531 slowed covalent modification of V178C, V180C, and D183C, indicating that these residues may line the GABA-binding site. Further, pentobarbital-induced channel activation accelerated modification of V180C and A181C and slowed the modification of R186C, suggesting that this region of the alpha(1) subunit may act as a dynamic element during channel-gating transitions.
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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) | 0.001 | 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".