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Record W3090309301 · doi:10.1073/pnas.1916349117

Characterization of alkylguaiacol-degrading cytochromes P450 for the biocatalytic valorization of lignin

2020· article· en· W3090309301 on OpenAlexafffund
Morgan M. Fetherolf, David J. Levy‐Booth, Laura E. Navas, Jie Liu, J.C. Grigg, Andrew J. Wilson, Rui Katahira, Gregg T. Beckham, William W. Mohn, Lindsay D. Eltis

Bibliographic record

VenueProceedings of the National Academy of Sciences · 2020
Typearticle
Languageen
FieldEngineering
TopicLignin and Wood Chemistry
Canadian institutionsUniversity of British Columbia
FundersGenome British ColumbiaNatural Sciences and Engineering Research Council of CanadaGovernment of Canada
KeywordsLigninGuaiacolChemistryCatabolismCorn stoverBiochemistryBiomass (ecology)BiocatalysisOrganic chemistryBiotechnologyCatalysisEnzymeBiologyHydrolysisEcology

Abstract

fetched live from OpenAlex

Significance Upgrading lignin, an underutilized component of biomass, is essential for the sustainability of biorefineries. Biocatalysis has considerable potential for upgrading lignin, but our lack of knowledge of relevant enzymes and pathways has limited its application. Herein, we describe a microbial pathway responsible for catabolizing alkylguaiacols, a major component of several industrial lignin streams. Catabolism is initiated by a cytochrome P450, with related P450s catalyzing the O -demethylation of different lignin-derived guaiacols and subsequent catabolism depending on the substitution pattern of the guaiacol. Importantly, the alkylguaiacol catabolic pathway enables bacterial growth on corn stover lignin produced by reductive catalytic fractionation. Overall, these insights greatly facilitate the engineering of P450s and bacteria to biocatalytically upgrade lignin.

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 score0.015
Threshold uncertainty score0.183

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.036
GPT teacher head0.256
Teacher spread0.221 · 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

Citations59
Published2020
Admission routes2
Has abstractyes

Explore more

Same venueProceedings of the National Academy of SciencesSame topicLignin and Wood ChemistryFrench-language works237,207