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Record W2057038995 · doi:10.1021/ja111138y

Synthesis and Molecular Modeling Provide Insight into a <i>Pseudomonas aeruginosa</i> Quorum Sensing Conundrum

2011· article· en· W2057038995 on OpenAlexfundno aff
Joseph S. Zakhari, Isao Kinoyama, Anjali K. Struss, Prasanna Pullanikat, Colin A. Lowery, Matthew Lardy, Kim D. Janda

Bibliographic record

VenueJournal of the American Chemical Society · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBacterial biofilms and quorum sensing
Canadian institutionsnot available
FundersNational Institute of Allergy and Infectious DiseasesNational Institutes of HealthUniversity of Calgary
KeywordsQuorum sensingPseudomonas aeruginosaChemistryHomoserineBacteriaMoleculeStereochemistryMolecular modelSmall moleculeComputational biologyCombinatorial chemistryBiochemistryGeneOrganic chemistryVirulence

Abstract

fetched live from OpenAlex

The triphenyl amide/ester 12 was originally reported to be a potent mimic of the natural 3-oxo-dodecanoyl homoserine lactone quorum sensing molecule in Pseudomonas aeruginosa. However, explicit synthesis/chemical characterization was lacking, and a later report providing protein crystallographic data inferred 12 to be incorrect, with 9 now being the surmised structure. Because of these inconsistencies and our interest in quorum sensing molecules utilized by gram-negative bacteria, we found it necessary to synthesize 9 and 12 to test for agonistic activity in a P. aeruginosa reporter assay. Despite distinct regiochemical differences, both 9 and 12 were found to have comparable EC(50) values. To reconcile these unanticipated findings, modeling studies were conducted, and both compounds were revealed to have comparable properties for binding to the LasR receptor.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.002

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 head0.010
GPT teacher head0.216
Teacher spread0.206 · 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 designSimulation or modeling
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

Citations14
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueJournal of the American Chemical SocietySame topicBacterial biofilms and quorum sensingFrench-language works237,207