MétaCan
Menu
Back to cohort
Record W1616327264 · doi:10.1089/ind.2013.0028

Engineering <i>Escherichia coli</i> for D-Ribose Production from Glucose-Xylose Mixtures

2014· article· en· W1616327264 on OpenAlex
Pratish Gawand, Radhakrishnan Mahadevan

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueIndustrial Biotechnology · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicrobial Metabolic Engineering and Bioproduction
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsXyloseRiboseEscherichia coliMutantBiochemistrySugarChemistryMetabolic engineeringBiologyEnzymeFermentationGene

Abstract

fetched live from OpenAlex

D-ribose is a commercially important functional sugar used as a nutritional supplement and as a starting compound in the synthesis of antiviral drugs. In this study, we report engineered Escherichia coli mutants that can produce D-ribose from glucose and xylose. Two endogenous haloacid dehalogenase-like (HAD) phosphatases from E. coli, HAD12 and HAD13, encoded by the genes ybiV and yidA, respectively, were expressed in E. coli wild type and the glucose-xylose co-utilizing mutant LMSE2. All the mutants constructed in this study produced D-ribose. The mutant RB-006 (LMSE2 expressing ybiV) showed the highest D-ribose titer of 1.16 g/L from 5 g/L each of glucose and xylose. Additionally, using xylose feeding, D-ribose titer was improved to 3.36 g/L. Xylulose and acetate were formed as the major byproducts in the fed-batch study. This study represents the first example of engineered E. coli for production of D-ribose. This study also demonstrates reengineering of a glucose-xylose co-utilizing mutant of E. coli for production of a valuable chemical.

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)0.001
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 score0.354
Threshold uncertainty score0.870

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0010.000
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 head0.011
GPT teacher head0.206
Teacher spread0.195 · 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