MétaCan
Menu
Back to cohort

Assays for Β-Lactamase Activity and Inhibition

2007· article· en· W78348002 on OpenAlexaff
Thammaiah Viswanatha, Laura Marrone, Valerie J. Goodfellow, Gary I. Dmitrienko

Bibliographic record

VenueMethods in molecular medicine · 2007
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAntibiotic Resistance in Bacteria
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsAntibioticsEnzymeSerineChemistryNucleophileBiochemistryResidue (chemistry)Function (biology)Combinatorial chemistryStereochemistryBiologyCatalysisGenetics

Abstract

fetched live from OpenAlex

The ability, either innate or acquired, to produce beta-lactamases, enzymes capable of hydrolyzing the endocyclic peptide bond in beta-lactam antibiotics, would appear to be a primary contributor to the ever-increasing incidences of resistance to this class of antibiotics. To date, four distinct classes, A, B, C, and D, of beta-lactamases have been identified. Of these, enzymes in classes A, C, and D utilize a serine residue as a nucleophile in their catalytic mechanism while class B members are Zn2+-dependent for their function. Efforts have been and still continue to be made toward the development of potent inhibitors of these enzymes as a means to ensure the efficacy of beta-lactam antibiotics in clinical medicine. This chapter concerns procedures for the evaluation of the catalytic activity of beta-lactamases as a means to screen compounds for their inhibitory potency.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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: Methods · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0070.008

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 head0.021
GPT teacher head0.388
Teacher spread0.368 · 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 designBench or experimental
Domainnot available
GenreMethods

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

Citations16
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueMethods in molecular medicineSame topicAntibiotic Resistance in BacteriaFrench-language works237,207