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Record W4400654267 · doi:10.26434/chemrxiv-2024-6rn7j

Rational exploration of 2,4-diaminopyrimidines as DHFR inhibitors active against Mycobacterium abscessus and Mycobacterium avium, two emerging human pathogens

2024· preprint· en· W4400654267 on OpenAlexaff
Matheus Meirelles, Vitor M. Almeida, Jaryd Sullivan, Ian de Toledo, Caio dos Reis, Micael Rodrigues Cunha, Rachael Zigweid, Abraham Shim, Banumathi Sankaran, E Woodward, Steve Seibold, Lijun Liu, Mohammad Mian, K.P. Battaile, Jennifer Riley, Christina Duncan, Frederick R. C. Simeons, Liam Ferguson, Kevin D. Read, Scott Lovell, Bart L. Staker, Marcel A. Behr, Ronaldo A. Pilli, Rafael M. Couñago

Bibliographic record

VenueChemRxiv · 2024
Typepreprint
Languageen
FieldMedicine
TopicMycobacterium research and diagnosis
Canadian institutionsMcGill University
Fundersnot available
KeywordsDihydrofolate reductaseMicrobiologyMycobacteriumBiologyNontuberculous mycobacteriaAntibioticsMycobacterium abscessusBacteriaEnzymeBiochemistryGenetics

Abstract

fetched live from OpenAlex

Nontuberculous mycobacteria (NTM) are emerging human pathogens linked to severe pulmonary diseases. Current treatments involve the prolonged use of multiple drugs and are often ineffective. Bacterial dihydrofolate reductase (DHFR) is a key enzyme targeted by antibiotics in Gram-negative bacterial infections. However, existing DHFR inhibitors designed for Gram-negative bacteria often fail against mycobacterial DHFRs. Here, we detail the rational design of NTM DHFR inhibitors based on P218, a malarial DHFR inhibitor. We identified 8, a 2,4-diaminopyrimidine exhibiting improved pharmacological properties and activity against purified DHFR and whole cell cultures of two predominant NTM species: Mycobacterium avium and Mycobacterium abscessus. This study underscores the potential of 8 as a promising candidate for the in vivo validation of DHFR as an effective treatment against NTM infections.

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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.038
GPT teacher head0.330
Teacher spread0.292 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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