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Record W4402136476 · doi:10.1021/acs.jmedchem.4c00773

Structure-Based Design and Development of Phosphine Oxides as a Novel Chemotype for Antibiotics that Dysregulate Bacterial ClpP Proteases

2024· article· en· W4402136476 on OpenAlexafffund
Funing Lin, Mark Mabanglo, Jin Zhou, Gursonika Binepal, Marim Barghash, Keith S. Wong, Scott D. Gray‐Owen, Robert A. Batey, Walid A. Houry

Bibliographic record

VenueJournal of Medicinal Chemistry · 2024
Typearticle
Languageen
FieldChemistry
TopicCarbohydrate Chemistry and Synthesis
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health ResearchUniversity of Toronto
KeywordsChemistryStereochemistryProteaseCocrystalSulfoneProteasesBiochemistryEnzymeHydrogen bondOrganic chemistry

Abstract

fetched live from OpenAlex

A series of arylsulfones and heteroarylsulfones have previously been demonstrated to dysregulate the conserved bacterial ClpP protease, causing the unspecific degradation of essential cellular housekeeping proteins and ultimately resulting in cell death. A cocrystal structure of a 2-β-sulfonylamide analog, ACP1-06, with Escherichia coli ClpP showed that its 2-pyridyl sulfonyl substituent adopts two orientations in the binding site related through a sulfone bond rotation. From this, a new bis -aryl phosphine oxide scaffold, designated as ACP6, was designed based on a “conformation merging” approach of the dual orientation of the ACP1-06 sulfone. One analog, ACP6-12, exhibited over a 10-fold increase in activity over the parent ACP1-06 compound, and a cocrystal X-ray structure with ClpP confirmed its predicted binding conformation. This allowed for a comparative analysis of how different ligand classes bind to the hydrophobic binding site. The study highlights the successful application of structure-based rational design of novel phosphine oxide-based antibiotics.

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 score0.015
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0010.000

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 head0.028
GPT teacher head0.256
Teacher spread0.228 · 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

Citations12
Published2024
Admission routes2
Has abstractyes

Explore more

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