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Construction of aFrancisella tularensis two-dimensional electrophoresis protein database

2001· article· en· W2067644654 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePROTEOMICS · 2001
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBacillus and Francisella bacterial research
Canadian institutionsDepartment of National Defence
Fundersnot available
KeywordsProteomeFrancisella tularensisBiologyProteomicsGenomeGel electrophoresisTwo-dimensional gel electrophoresisVirulencePeptide mass fingerprintingMicrobiologyMolecular biologyGeneticsGene

Abstract

fetched live from OpenAlex

We have started the construction of a two-dimensional database of the proteome of Francisella tularensis, a bacterium that is responsible for the highly pathogenic disease tularemia. The genome of this intracellular pathogen is not completely sequenced yet and, currently, information about only 66 proteins is available from NCBI database. We have analyzed the F. tularensis live vaccine strain by two-dimensional gel electrophoresis with immobilized pH 3-10 gradient in the first dimension and 9-16% gradient or tricine SDS-PAGE in the second dimension. In both cases about 2000 spots were detected. Furthermore, we compared the protein pattern of the nonvirulent F. tularensis live vaccine strain with protein profiles of two wild type clinical isolates and more than 50 differentially expressed proteins were counted. The separated proteins are going to be identified by peptide mass fingerprinting. However, due to the lack of complete genome sequence data only eight proteins were unambiguously identified. Among them, acid phosphatase and the most basic isoform of a hypothetical 23 kDa protein are characteristic only for virulent strains.

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.

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 score0.022
Threshold uncertainty score0.570

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 head0.010
GPT teacher head0.247
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