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The propeptide of cruzipain − a potent selective inhibitor of the trypanosomal enzymes cruzipain and brucipain, and of the human enzyme cathepsin F

2007· article· en· W1521360902 on OpenAlexaff
Flavia C. G. Reis, Tatiana F. R. Costa, Traian Sulea, Alessandra Mezzetti, Júlio Scharfstein, Dieter Brömme, Robert Ménard, Ana Paula C. A. Lima

Bibliographic record

VenueFEBS Journal · 2007
Typearticle
Languageen
FieldMedicine
TopicTrypanosoma species research and implications
Canadian institutionsUniversity of British ColumbiaBiotechnology Research Institute
FundersNational Institute of Arthritis and Musculoskeletal and Skin Diseases
KeywordsProteasesProtein precursorPapainCathepsinBiochemistryCathepsin BCathepsin CCathepsin OCathepsin LCathepsin HEnzymeCathepsin SBiologyCathepsin ACysteineTrypanosoma bruceiChemistryGene

Abstract

fetched live from OpenAlex

Papain-like cysteine proteases of pathogenic protozoa play important roles in parasite growth, differentiation and host cell invasion. The main cysteine proteases of Trypanosoma cruzi (cruzipain) and of Trypanosoma brucei (brucipain) are validated targets for the development of new chemotherapies. These proteases are synthesized as precursors and activated upon removal of the N-terminal prodomain. Here we report potent and selective inhibition of cruzipain and brucipain by the recombinant full-length prodomain of cruzipain. The propeptide did not inhibit human cathepsins S, K or B or papain at the tested concentrations, and moderately inhibited human cathepsin V. Human cathepsin F was very efficiently inhibited (K(i) of 32 pm), an interesting finding indicating that cruzipain propeptide is able to discriminate cathepsin F from other cathepsin L-like enzymes. Comparative structural modeling and analysis identified the interaction between the beta1p-alpha3p loop of the propeptide and the propeptide-binding loop of mature enzymes as a plausible cause of the observed inhibitory selectivity.

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)0.001
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.689
Threshold uncertainty score0.433

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.016
GPT teacher head0.291
Teacher spread0.275 · 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

Citations22
Published2007
Admission routes1
Has abstractyes

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