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Record W2285155743 · doi:10.1177/15353702-0322805-09

Interaction of Selective Amino Acid Residues of K<sub>Ca</sub> Channels with Carbon Monoxide

2003· article· en· W2285155743 on OpenAlexaff
Rui Wang, Lingyun Wu

Bibliographic record

VenueExperimental Biology and Medicine · 2003
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicSulfur Compounds in Biology
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsChemistryConductanceCysteineHistidineCarbon monoxideAmino acidLysineBiophysicsIon channelStereochemistryBiochemistryReceptorBiologyEnzyme

Abstract

fetched live from OpenAlex

The activation of big-conductance K(Ca) channels in vascular smooth muscle cells by carbon monoxide (CO) has been demonstrated previously. One specific target of CO on K(Ca) channel proteins is the histidine residue. The roles of other amino acid residues on the functionality of K(Ca) channels, as well as their reactions to CO, have been unclear. In the present study, the cell-free single channel recording technique was used to investigate the chemical modification of K(Ca) channels by CO and other chemical agents. The modification of negatively charged carboxyl groups and the epsilon -amino group of lysine did not affect the open probability, but decreased single-channel conductance of K(Ca) channels. When sulfhydryl groups of cysteine were modified with N-ethylmaleimide, the open probability of K(Ca) channels was decreased, but single-channel conductance was not affected. None of the above chemical modifications affected the CO-induced increase in the open probability of K(Ca) channels. However, N-ethylmaleimide treatment reduced the stimulatory effect of nitric oxide (NO) on K(Ca) channels. Finally, pretreatment of smooth muscle cells with NO abolished the effects of subsequently applied CO on K(Ca) channel proteins. Our study demonstrates that CO and NO acted on different amino acid residues of K(Ca) channel proteins. The interaction of CO and NO determines the functional status of K(Ca) channels in vascular smooth muscle cells

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)0.000
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 score0.007
Threshold uncertainty score0.453

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.011
GPT teacher head0.287
Teacher spread0.276 · 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

Citations30
Published2003
Admission routes1
Has abstractyes

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