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Record W2028381398 · doi:10.1055/s-0032-1320761

Tyrocidine a from a haliclona sponge derived Vibrio sp

2012· article· en· W2028381398 on OpenAlexaff
JC Noro, John A. Kalaitzis, DE Williams, Doralyn S. Dalisay, R. J. Andersen, BA Neilan

Bibliographic record

VenuePlanta Medica · 2012
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMarine Sponges and Natural Products
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsSpongeVibrioBiologyBayRibosomal RNANew guineaBacteriaMicrobiologyZoologyEcologyGeneGeneticsBotanyGeographyArchaeology

Abstract

fetched live from OpenAlex

Taxonomically diverse, sponge-associated microbial communities represent a rich source of potentially novel and bioactive natural products. In our search for bioactive compounds from sponge-associated microbes we isolated and identified a Vibrio sp. from a sample of Haliclona collected from Milne Bay, Papua New Guinea. The Vibrio strain was selected for further investigation on the basis of testing positive for the presence of non-ribosomal peptide synthetase (NRPS) coding genes in our PCR-based screen. Chemical investigation of this Vibrio sp. resulted in the isolation and identification of the NRPS product tyrocidine A, and its decapeptide structure was confirmed by 1D and 2D NMR. Tyrocidine A displayed moderate activity against methicillin resistant S. aureus , E. coli and P. aeruginosa. The discovery of tyrocidine A from a marine Vibrio sp is intriguing from a microbiological viewpoint as it has long been known to be a product of the Gram-positive, soil-dwelling and spore forming Bacillus spp. Aspects of this, and the notion that the marine environment is a largely untapped source of bioactive natural products will be presented.

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 score0.002
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 head0.011
GPT teacher head0.234
Teacher spread0.224 · 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

Citations0
Published2012
Admission routes1
Has abstractyes

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