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Record W3093461440 · doi:10.1002/cbic.202000659

<sup>17</sup>O NMR Studies of Yeast Ubiquitin in Aqueous Solution and in the Solid State

2020· article· en· W3093461440 on OpenAlexaff
Binyang Lin, Ivan Hung, Zhehong Gan, Po‐Hsiu Chien, Holly L. Spencer, Steven P. Smith, Gang Wu

Bibliographic record

VenueChemBioChem · 2020
Typearticle
Languageen
FieldChemistry
TopicAdvanced NMR Techniques and Applications
Canadian institutionsQueen's University
FundersState of FloridaNational Institute of General Medical SciencesNational High Magnetic Field Laboratory
KeywordsEscherichia coliAqueous solutionYeastChemistryNMR spectra databaseStereochemistryAmino acidNuclear magnetic resonance spectroscopyUbiquitinBiochemistrySpectral lineOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract We report a general method for amino acid‐type specific 17 O‐labeling of recombinant proteins in Escherichia coli . In particular, we have prepared several [1‐ 13 C, 17 O]‐labeled yeast ubiquitin (Ub) samples including Ub‐[1‐ 13 C, 17 O]Gly, Ub‐[1‐ 13 C, 17 O]Tyr, and Ub‐[1‐ 13 C, 17 O]Phe using the auxotrophic E. coli strain DL39 GlyA λDE3 ( asp C − tyr B − ilv E − gly A − λDE3). We have also produced Ub‐[η‐ 17 O]Tyr, in which the phenolic group of Tyr59 is 17 O‐labeled. We show for the first time that 17 O NMR signals from protein terminal residues and side chains can be readily detected in aqueous solution. We also reported solid‐state 17 O NMR spectra for Ub‐[1‐ 13 C, 17 O]Tyr and Ub‐[1‐ 13 C, 17 O]Phe obtained at an ultrahigh magnetic field, 35.2 T (1.5 GHz for 1 H). This work represents a significant advance in the field of 17 O NMR studies of proteins.

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 score0.033
Threshold uncertainty score0.376

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 studies0.0000.000
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 head0.035
GPT teacher head0.312
Teacher spread0.276 · 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

Citations24
Published2020
Admission routes1
Has abstractyes

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