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Record W2546796218 · doi:10.1134/s0003683816070061

Anaerobic biosynthesis of intermediates of reductive branch of tricarboxylic acids cycle by Escherichia coli strains with inactivated frdAB and sdhAB genes

2016· article· en· W2546796218 on OpenAlexfundno aff
A. Yu. Skorokhodova, A. Yu. Gulevich, В. Г. Дебабов

Bibliographic record

VenueApplied Biochemistry and Microbiology · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicrobial Metabolic Engineering and Bioproduction
Canadian institutionsnot available
FundersInstitute of Population and Public Health
KeywordsFumarate reductaseFumaric acidBiochemistrySuccinic acidFermentationCitric acid cycleMalate dehydrogenaseMalic acidEscherichia coliFumaraseGlyoxylate cycleChemistryPyruvate carboxylasePyruvate decarboxylaseMutantBiologyMetabolismGeneAlcohol dehydrogenaseEnzymeCitric acid

Abstract

fetched live from OpenAlex

The genes frdAB and sdhAB, which encode components of fumarate reductase and succinate dehydrogenase, have been deleted in a recombinant E. coli strain with the inactivated pathways of mixed-acid fermentation and a modified system of glucose transport and phosphorylation upon the heterological expression of the pyruvate carboxylase gene. Under anaerobic conditions, the parental strain efficiently converted glucose to succinic acid without synthesizing notable amounts of fumaric or malic acid. Upon individual deletion of the frdAB genes, the mutant strain fermented glucose to succinic acid less efficiently secreting notable amounts of malic and fumaric acids. Individual deletion of the sdhAB genes in the parental strain did not significantly affect the formation of the main fermentation end-product. The combined inactivation of fumarate reductase and succinate dehydrogenase in the constructed strain enhanced the anaerobic conversion of glucose to fumaric and malic acids with the activation of the glyoxylate bypass and decrease in the contribution of the reductive branch of the TCA cycle to the formation of the target products.

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 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 score0.004
Threshold uncertainty score0.544

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 studies0.0000.001
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 head0.002
GPT teacher head0.174
Teacher spread0.171 · 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 teacher head, 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

Citations1
Published2016
Admission routes1
Has abstractyes

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