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Record W2012045987 · doi:10.1002/prot.10214

NMR structure of the <i>Escherichia coli</i> protein YacG: A novel sequence motif in the zinc‐finger family of proteins

2002· article· en· W2012045987 on OpenAlexaff
Theresa A. Ramelot, John Cort, Adelinda Yee, Anthony Semesi, A.M. Edwards, C.H. Arrowsmith, Michael A. Kennedy

Bibliographic record

VenueProteins Structure Function and Bioinformatics · 2002
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomics and Phylogenetic Studies
Canadian institutionsStructural Genomics ConsortiumOntario Institute for Cancer ResearchUniversity of Toronto
FundersPacific Northwest National LaboratoryBattelleNational Institute of General Medical SciencesBiological and Environmental ResearchNational Institutes of HealthU.S. Department of Energy
KeywordsZinc fingerSequence motifZincMotif (music)Structural motifEscherichia coliSequence (biology)ChemistryPeptide sequenceComputational biologyCrystallographyBiochemistryBiologyGeneticsGenePhysicsOrganic chemistryTranscription factor

Abstract

fetched live from OpenAlex

Introduction. We have used nuclear magnetic resonance (NMR) spectroscopy to determine the solution structure of YacG (gi7466984), a small zinc-binding protein encoded by the Escherichia coli yacG gene. YacG is a conserved hypothetical protein (COG 3024) with homologs in various bacterial species (Fig. A structure similarity search using Dali 1 did not reveal any structurally similar proteins (Z score all 2). However, the protein has characteristic features of a zinc finger including two antiparallel -strands, an -helix, and a tetrahedral Zn 2 -binding site. The consensus motif for the Cys residues (-C-X 2 -C-X 15 -C-X 3 -C-) is invariant among the YacG homologs but is not present in any other zinc-binding proteins with known structures.

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 score0.003
Threshold uncertainty score0.005

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 head0.015
GPT teacher head0.199
Teacher spread0.184 · 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

Citations14
Published2002
Admission routes1
Has abstractyes

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