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Record W4409533142 · doi:10.1016/j.celrep.2025.115581

Structures of the human adult muscle-type nicotinic receptor in resting and desensitized states

2025· article· en· W4409533142 on OpenAlexfundno aff
Anna Li, A.C.W. Pike, Richard Webster, Susan Maxwell, Wei Wei Liu, Gamma Chi, Jacqueline Palace, David Beeson, David B. Sauer, Yin Yao Dong

Bibliographic record

VenueCell Reports · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicNicotinic Acetylcholine Receptors Study
Canadian institutionsnot available
FundersNational Institute of Allergy and Infectious DiseasesMedical Research CouncilHorizon 2020 Framework ProgrammeEuropean CommissionInnovative Medicines InitiativeRoyal SocietyEuropean Federation of Pharmaceutical Industries and AssociationsArgenxNational Institutes of HealthOntario Institute for Cancer ResearchWellcome TrustWolfson FoundationU.S. Environmental Protection Agency
KeywordsNicotinic agonistReceptorEndocrinologyChemistryInternal medicineCell biologyBiologyMedicine

Abstract

fetched live from OpenAlex

Muscle-type nicotinic acetylcholine receptor (AChR) is the key signaling molecule in neuromuscular junctions. Here, we present the structures of full-length human adult receptors in complex with Fab35 in α-bungarotoxin (αBuTx)-bound resting states and ACh-bound desensitized states. In addition to identifying the conformational changes during recovery from desensitization, we also used electrophysiology to probe the effects of eight previously unstudied AChR genetic variants found in patients with congenital myasthenic syndrome (CMS), revealing they cause either slow- or fast-channel CMS characterized by prolonged or abbreviated ion channel bursts. The combined kinetic and structural data offer a better understanding of both the AChR state transition and the pathogenic mechanisms of disease variants.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.078
Threshold uncertainty score0.398

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.006
GPT teacher head0.258
Teacher spread0.252 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations7
Published2025
Admission routes1
Has abstractyes

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