MétaCan
Menu
Back to cohort
Record W2092601184 · doi:10.1021/jm4005972

Synthesis and Structure–Activity Relationships of Phosphonic Arginine Mimetics as Inhibitors of the M1 and M17 Aminopeptidases from <i>Plasmodium falciparum</i>

2013· article· en· W2092601184 on OpenAlexaff
Komagal Kannan Sivaraman, Alessandro Paiardini, Marcin Sieńczyk, Chiara Ruggeri, Christine A. Oellig, John P. Dalton, Peter J. Scammells, Marcin Drąg, Sheena McGowan

Bibliographic record

VenueJournal of Medicinal Chemistry · 2013
Typearticle
Languageen
FieldMedicine
TopicPeptidase Inhibition and Analysis
Canadian institutionsMcGill University
FundersNational Health and Medical Research CouncilFundacja na rzecz Nauki PolskiejAustralian Synchrotron
KeywordsPlasmodium falciparumChemistryEnzymeArginineMalariaParasite hostingBiochemistryEnzyme inhibitorAmino acidBiologyImmunology

Abstract

fetched live from OpenAlex

The malaria parasite Plasmodium falciparum employs two metallo-aminopeptidases, PfA-M1 and PfA-M17, which are essential for parasite survival. Compounds that inhibit the activity of either enzyme represent leads for the development of new antimalarial drugs. Here we report the synthesis and structure-activity relationships of a small library of phosphonic acid arginine mimetics that probe the S1 pocket of both enzymes and map the necessary interactions that would be important for a dual inhibitor.

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)0.001
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 score0.025
Threshold uncertainty score0.536

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.011
GPT teacher head0.230
Teacher spread0.218 · 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

Citations63
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Medicinal ChemistrySame topicPeptidase Inhibition and AnalysisFrench-language works237,207