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Record W1978566395 · doi:10.1074/jbc.m507238200

Molecular Basis of the Interaction between the Flagellar Export Proteins FliI and FliH from Helicobacter pylori

2005· article· en· W1978566395 on OpenAlexaff
Michael Lane, Paul W. O’Toole, Stanley A. Moore

Bibliographic record

VenueJournal of Biological Chemistry · 2005
Typearticle
Languageen
FieldMedicine
TopicHelicobacter pylori-related gastroenterology studies
Canadian institutionsUniversity of Saskatchewan
FundersIrish Research CouncilUniversity College CorkScience Foundation IrelandPalmerston North Medical Research Foundation
KeywordsHelicobacter pyloriProtein–protein interactionMicrobiologyComputational biologyBiologyCell biologyGenetics

Abstract

fetched live from OpenAlex

Bacterial flagellar protein export requires an ATPase, FliI, and presumptive inhibitor, FliH. We have explored the molecular basis for FliI/FliH interaction in the human gastric pathogen Helicobacter pylori. By using bioinformatic and biochemical analyses, we showed that residues 1-18 of FliI very likely form an amphipathic alpha-helix upon interaction with FliH, and that residues 21-91 of FliI resemble the N-terminal oligomerization domain of the F1-ATPase catalytic subunits. A truncated FliI-(2-91) protein was shown to be folded, although the N-terminal 18 residues were likely unstructured. Deletion and scanning mutagenesis showed that residues 1-18 of FliI were essential for the FliI/FliH interaction. Scanning mutation of amino acids in the N-terminal 10 residues of FliI indicated that a cluster of hydrophobic residues in this segment was critical for the interaction with FliH. The interaction between FliI and FliH has similarities to the interaction between the N-terminal alpha-helix of the F1-ATPase alpha-subunit and the globular domain of the F1-ATPase delta-subunit, respectively. This similarity suggests that FliH may function as a molecular stator.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.023
GPT teacher head0.260
Teacher spread0.237 · 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 source (direct Gemma or distilled Codex), 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

Citations47
Published2005
Admission routes1
Has abstractyes

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