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Record W2611203865 · doi:10.1002/pro.3181

Refolding the unfoldable: A systematic approach for renaturation of<i>Bacillus circulans</i>xylanase

2017· article· en· W2611203865 on OpenAlexafffund
Miriam P. Kötzler, Lawrence P. McIntosh, Stephen G. Withers

Bibliographic record

VenueProtein Science · 2017
Typearticle
Languageen
FieldEngineering
TopicBiofuel production and bioconversion
Canadian institutionsCanada's Michael Smith Genome Sciences CentreUniversity of British Columbia
FundersBritish Columbia Knowledge Development FundNatural Sciences and Engineering Research Council of CanadaDeutsche ForschungsgemeinschaftCanada Foundation for Innovation
KeywordsBacillus circulansChemistryXylanaseBiochemistryBiocatalysisClostridium thermocellumResidue (chemistry)EnzymeCombinatorial chemistryCellulaseComputational biologyCatalysisBiology

Abstract

fetched live from OpenAlex

Xylanases are important polysaccharide-cleaving catalysts for the pulp and paper, animal feeds and biofuels industries. They have also proved to be valuable model systems for understanding enzymatic catalysis, with one of the best studied being the GH11 xylanase from Bacillus circulans (Bcx). However, proteins from this class are very recalcitrant to refolding in vitro. This both limits their high level expression in heterologous hosts, and prevents experimental approaches, such as peptide ligation or chemical modifications, to probe and engineer their stability and function. To solve this problem, a systematic screening approach was employed to identify suitable buffer conditions for renaturing Bcx in vitro. The fractional factorial screen employed identified starting conditions for refolding, which were then refined and developed into a generic protocol for renaturing preparative amounts of active Bcx in a 50-60% yield from inclusion bodies. The method is robust and proved equally proficient at refolding circularly permuted versions that carry cysteine mutations. This general approach should be applicable to related GH11 xylanases, as well as proteins adopting a similar β-jellyroll fold, that are otherwise recalcitrant to refolding in vitro.

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)0.001
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 score0.451
Threshold uncertainty score0.432

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.023
GPT teacher head0.239
Teacher spread0.216 · 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

Citations7
Published2017
Admission routes2
Has abstractyes

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