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Record W22770371 · doi:10.1021/jp305077k

低剂量LPS激活NF-κB促进胰岛β细胞株NIT-1增殖

2009· article· en· W22770371 on OpenAlexfundno aff
刘珊英, Li Cheng Yan, 梁绮君, 甘小玲, 梁颖, 梁蔚文, 林燕华, 林天歆

Bibliographic record

Venue中国药理学通报 · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicNF-κB Signaling Pathways
Canadian institutionsnot available
FundersCanadian Institutes of Health Research
KeywordsNatComputer scienceComputer network

Abstract

fetched live from OpenAlex

Rhomboid proteases are integral membrane serine proteases that catalyze peptide bond hydrolysis in biological membranes. Little is currently known about the interaction of enzyme and substrate. Coarse-grained molecular dynamics simulations in hydrated lipid bilayers are employed herein to study the interaction of the E. coli rhomboid protease GlpG (ecGlpG) with the transmembrane domain (TMD) of the substrate Spitz. Spitz does not associate with ecGlpG exclusively at the putative substrate gate near TMD 5. Instead, there are six prominent and stable interaction sites, including one between TMDs 1 and 3, with the closest enzyme-substrate proximity occurring at the ends of helical TMDs or in loops. Bilayer thinning is observed proximal to ecGlpG, but there is no evidence of additional thinning of the bilayer upon interaction with substrate. We suggest that the initial interaction between enzyme and substrate, or substrate capture event, is not limited to a single site on the enzyme, and may be driven by juxtamembrane electrostatic interactions. The findings are of additional interest because catalytically inactive rhomboids (iRhoms) are now known to interact with the substrates of their catalytically active counterparts and to antagonize the enzyme-driven pathways.

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 score0.328
Threshold uncertainty score0.639

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 studies0.0000.000
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 head0.007
GPT teacher head0.234
Teacher spread0.227 · 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

Citations0
Published2009
Admission routes1
Has abstractyes

Explore more

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