MétaCan
Menu
Back to cohort
Record W2006826092 · doi:10.1021/cb400505a

Breaking Down Lignin to High-Value Chemicals: The Conversion of Lignocellulose to Vanillin in a Gene Deletion Mutant of <i>Rhodococcus jostii</i> RHA1

2013· article· en· W2006826092 on OpenAlexaff
Paul D. Sainsbury, Elizabeth M. Hardiman, Mark Ahmad, Hiroshi Otani, Nicolas Seghezzi, Lindsay D. Eltis, Timothy D. H. Bugg

Bibliographic record

VenueACS Chemical Biology · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBiochemical and biochemical processes
Canadian institutionsUniversity of British Columbia
FundersBiotechnology and Biological Sciences Research Council
KeywordsVanillinLigninChemistryFerulic acidBiochemistryMutantFood scienceOrganic chemistryGene

Abstract

fetched live from OpenAlex

The aromatic polymer lignin represents a possible renewable source of aromatic chemicals, if biocatalytic routes for lignin breakdown can be developed. The availability of a genome sequence for Rhodococcus jostii RHA1, a bacterium that breaks down lignin, has allowed the application of a targeted pathway engineering strategy to lignin breakdown to produce vanillin, a valuable food/flavor chemical. A gene deletion strain of R. jostii RHA1 in which the vanillin dehydrogenase gene had been deleted, when grown on minimal medium containing 2.5% wheat straw lignocellulose and 0.05% glucose, was found to accumulate vanillin with yields of up to 96 mg/L after 144 h, together with smaller amounts of ferulic acid and 4-hydroxybenzaldehyde.

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 score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.006
GPT teacher head0.229
Teacher spread0.223 · 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

Citations280
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueACS Chemical BiologySame topicBiochemical and biochemical processesFrench-language works237,207