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Record W2058232170 · doi:10.1002/pro.697

Crystal structure of New Delhi metallo‐β‐lactamase reveals molecular basis for antibiotic resistance

2011· article· en· W2058232170 on OpenAlexafffund
Dustin T. King, N.C.J. Strynadka

Bibliographic record

VenueProtein Science · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAntibiotic Resistance in Bacteria
Canadian institutionsUniversity of British Columbia
FundersBritish Columbia Knowledge Development FundCanadian Institutes of Health ResearchKillam TrustsHoward Hughes Medical Institute
KeywordsAntibiotic resistanceCrystal (programming language)AntibioticsBasis (linear algebra)Crystal structureCrystallographyBiologyChemistryGeneticsMathematicsComputer science

Abstract

fetched live from OpenAlex

β-Lactams are the most commonly prescribed class of antibiotics and have had an enormous impact on human health. Thus, it is disquieting that an enzyme called New Delhi metallo-β-lactamase-1 (NDM-1) can confer Enterobacteriaceae with nearly complete resistance to all β-lactam antibiotics including the carbapenams. We have determined the crystal structure of Klebsiella pneumoniae apo-NDM-1 to 2.1-Å resolution. From the structure, we see that NDM-1 has an expansive active site with a unique electrostatic profile, which we propose leads to a broader substrate specificity. In addition, NDM-1 undergoes important conformational changes upon substrate binding. These changes have not been previously observed in metallo-β-lactamase enzymes and may have a direct influence on substrate recognition and catalysis.

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)0.000
metaresearch head score (Gemma)0.000
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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 communication0.0010.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.018
GPT teacher head0.259
Teacher spread0.241 · 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
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

Citations218
Published2011
Admission routes2
Has abstractyes

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Same venueProtein ScienceSame topicAntibiotic Resistance in BacteriaFrench-language works237,207