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Record W1994462959 · doi:10.1042/0264-6021:3610613

S′2 substrate specificity and the role of His110 and His111 in the exopeptidase activity of human cathepsin B

2002· article· en· W1994462959 on OpenAlexaff
Joanne C. Krupa, Sadiq Hasnain, Dorit K. Nägler, Robert Ménard, John S. Mort

Bibliographic record

VenueBiochemical Journal · 2002
Typearticle
Languageen
FieldMedicine
TopicPeptidase Inhibition and Analysis
Canadian institutionsMcGill UniversityBiotechnology Research InstituteNational Research Council CanadaShriners Hospitals for Children - Canada
Fundersnot available
KeywordsExopeptidaseCathepsin OCathepsinBiochemistryChemistryStereochemistryCysteineProteaseCathepsin BPeptideBiologyEnzyme

Abstract

fetched live from OpenAlex

The ability of the lysosomal cysteine protease cathepsin B to function as a peptidyldipeptidase (removing C-terminal dipeptides) has been attributed to the presence of two histidine residues (His(110) and His(111)) present in the occluding loop, an extra peptide segment located in the primed side of the active-site cleft. Whereas His(111) is unpaired, His(110) is present as an ion pair with Asp(22) on the main body of the protease. This ion pair appears to act as a latch to hold the loop in a closed position. The exopeptidase activity of cathepsin B, examined using quenched fluorescence substrates, was shown to have a 20-fold preference for aromatic side chains in the P2' position relative to glutamic acid as the least favourable residue. Site-directed mutagenesis demonstrated that His(111) makes a positive 10-fold contribution to the exopeptidase activity, whereas His(110) is critical for this action with the Asp(22)-His(110) ion pair stabilizing the electrostatic interaction by a maximum of 13.9 kJ/mol (3.3 kcal/mol). These studies showed that cathepsin B is optimized to act as an exopeptidase, cleaving dipeptides from protein substrates in a successive manner, because of its relaxed specificity in P2' and its other subsites.

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 score0.057
Threshold uncertainty score0.178

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.022
GPT teacher head0.253
Teacher spread0.231 · 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

Citations64
Published2002
Admission routes1
Has abstractyes

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