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Record W2024017407 · doi:10.1021/cr040461t

Toward a Detailed Understanding of Base Excision Repair Enzymes:  Transition State and Mechanistic Analyses of <i>N</i>-Glycoside Hydrolysis and <i>N-</i>Glycoside Transfer

2006· review· en· W2024017407 on OpenAlexaffabout
Paul J. Berti, Joe A. B. McCann

Bibliographic record

VenueChemical Reviews · 2006
Typereview
Languageen
FieldMaterials Science
TopicEnzyme Structure and Function
Canadian institutionsMcMaster University
Fundersnot available
KeywordsCitationChemistryComputer scienceTransition (genetics)Information retrievalWorld Wide WebLibrary scienceBiochemistry

Abstract

fetched live from OpenAlex

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTToward a Detailed Understanding of Base Excision Repair Enzymes: Transition State and Mechanistic Analyses of N-Glycoside Hydrolysis and N-Glycoside TransferPaul J. Berti and Joe A. B. McCannView Author Information Department of Chemistry and Department of Biochemistry and Biomedical Sciences, McMaster University, 1280 Main Street West, Hamilton, Ontario L8S 4M1, Canada Cite this: Chem. Rev. 2006, 106, 2, 506–555Publication Date (Web):January 26, 2006Publication History Received26 July 2005Published online26 January 2006Published inissue 1 February 2006https://pubs.acs.org/doi/10.1021/cr040461thttps://doi.org/10.1021/cr040461tresearch-articleACS PublicationsCopyright © 2006 American Chemical SocietyRequest reuse permissionsArticle Views2585Altmetric-Citations228LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail Other access optionsGet e-Alertsclose SUBJECTS:Genetics,Hydrolysis,Ions,Peptides and proteins,Reaction mechanisms Get e-Alerts

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0030.017
Open science0.0030.001
Research integrity0.0040.009
Insufficient payload (model declined to judge)0.0050.004

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 head0.125
GPT teacher head0.332
Teacher spread0.207 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations253
Published2006
Admission routes2
Has abstractyes

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