MétaCan
Menu
Back to cohort
Record W4309962810 · doi:10.1016/j.ijpddr.2022.11.004

Thiophene derivatives activity against the protozoan parasite Leishmania infantum

2022· article· en· W4309962810 on OpenAlexafffund
Sophia Bigot, Philippe Leprohon, Abimael Vasquez, Rohit Bhadoria, Rachid Skouta, Marc Ouellette

Bibliographic record

VenueInternational Journal for Parasitology Drugs and Drug Resistance · 2022
Typearticle
Languageen
FieldMedicine
TopicResearch on Leishmaniasis Studies
Canadian institutionsUniversité LavalHôtel-Dieu de QuébecCentre hospitalier de l'Université LavalCentre hospitalier universitaire de Québec
FundersCanadian Institutes of Health ResearchCanada Research ChairsCanada Foundation for InnovationUniversity of Massachusetts
KeywordsLeishmania infantumLeishmaniasisLeishmaniaThiopheneChemistryEC50BiochemistryBiologyPharmacologyParasite hostingIn vitroVisceral leishmaniasisImmunologyOrganic chemistry

Abstract

fetched live from OpenAlex

Treatments against leishmaniasis are limited and the development of new molecules is crucial. One class of developmental drug that has shown activity against the parasite Leishmania are thiophene derivatives. Here we synthetized thirty-eight novel thiophene compounds and characterized their activity and potential for resistance against L. infantum. Half of the molecules had an EC50 in the low micromolar range, the piperidine derivatives being more potent than the tetramethylpyran derivatives. Resistance was challenging to select for, and resistant cells could only be raised against one (GC1-19) of the four most active compounds. Using chemogenomic screens we show that a gene conversion event at the ABCG2 locus as well as the overexpression of a tryparedoxin peroxidase are responsible for a weak but significant resistance to the GC1-19 drug candidate. Together, our results suggest that thiophene is a scaffold of interest for further drug development against leishmaniasis.

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.351
Teacher spread0.332 · 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

Citations17
Published2022
Admission routes2
Has abstractyes

Explore more

Same venueInternational Journal for Parasitology Drugs and Drug ResistanceSame topicResearch on Leishmaniasis StudiesFrench-language works237,207