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Record W2075712083 · doi:10.1107/s139900471302991x

Structure of the N-terminal domain of the effector protein LegC3 from<i>Legionella pneumophila</i>

2014· article· en· W2075712083 on OpenAlexafffund
Deqiang Yao, M.M. Cherney, Mirosław Cygler

Bibliographic record

VenueActa Crystallographica Section D Biological Crystallography · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicLegionella and Acanthamoeba research
Canadian institutionsMcGill UniversityUniversity of Saskatchewan
FundersCanadian Institutes of Health Research
KeywordsAntiparallel (mathematics)Coiled coilLegionella pneumophilaEffectorTransmembrane proteinTransmembrane domainTerminal (telecommunication)Domain (mathematical analysis)Fusion proteinBiologyCell biologyBiophysicsMembranePhysicsBiochemistryGeneticsRecombinant DNAMathematicsComputer scienceGeneBacteria

Abstract

fetched live from OpenAlex

Legionella pneumophila secretes over 300 effectors during the invasion of human cells. The functions of only a small number of them have been identified. LegC3 is one of the identified effectors, which is believed to act by inhibiting vacuolar fusion. It contains two predicted transmembrane helices that divide the protein into a larger N-terminal domain and a smaller C-terminal domain. The function of LegC3 has been shown to be associated primarily with the N-terminal domain, which contains coiled-coil sequence motifs. The structure of the N-terminal domain has been determined and it is shown that it is highly α-helical and contains a helical bundle followed by a long antiparallel coiled-coil. No similar protein fold has been observed in the PDB. A long loop at the tip of the coiled-coil distal from the membrane is disordered and may be important for interaction with an as yet unidentified protein.

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 score0.016
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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.

Opus teacher head0.008
GPT teacher head0.215
Teacher spread0.207 · 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

Citations10
Published2014
Admission routes2
Has abstractyes

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