{"id":"W1787366775","doi":"10.1016/j.matbio.2015.09.003","title":"Active site specificity profiling of the matrix metalloproteinase family: Proteomic identification of 4300 cleavage sites by nine MMPs explored with structural and synthetic peptide cleavage analyses","year":2015,"lang":"en","type":"article","venue":"Matrix Biology","topic":"Peptidase Inhibition and Analysis","field":"Medicine","cited_by":214,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canada Research Chairs; Deutsche Forschungsgemeinschaft; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Deutscher Akademischer Austauschdienst; Michael Smith Health Research BC; University of British Columbia; Alexander von Humboldt-Stiftung","keywords":"Proteases; Scissile bond; Cleavage (geology); Chemistry; Peptide; Matrix metalloproteinase; Biochemistry; Protease; Cooperativity; Biology; Enzyme","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003297439,0.0002132351,0.000592683,0.0001923018,0.00007103102,0.00001429884,0.00012227,0.0001168353,0.00003239554],"category_scores_gemma":[0.0002058278,0.0001292688,0.0001433944,0.0004298048,0.0004655716,0.0001025902,0.0000790013,0.0001853978,0.000007351888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005439613,"about_ca_system_score_gemma":0.00006641836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002167879,"about_ca_topic_score_gemma":0.0000228862,"domain_scores_codex":[0.9983935,0.0002422103,0.0005609863,0.0003728105,0.0002221751,0.0002083128],"domain_scores_gemma":[0.9986523,0.00005392473,0.0005574496,0.0004108256,0.0002185232,0.0001069118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006519307,0.00006611258,0.01042019,0.0001113286,0.0001877549,0.000004289539,0.0003896389,0.00001796269,0.9877846,0.00009321571,0.0001237417,0.0001492535],"study_design_scores_gemma":[0.001139966,0.0003322333,0.01383118,0.0001008456,0.0003843689,0.00002862769,0.002200744,0.0007566888,0.9808978,0.0001646101,0.00002023775,0.0001426863],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976984,0.0003189858,0.0005385752,0.0002625248,0.00001411997,0.0007522092,0.0002575273,0.00003360961,0.0001240171],"genre_scores_gemma":[0.9978864,0.00002035007,0.00139234,0.00002874283,0.00004089363,0.00003402851,0.0002310207,0.00001926276,0.0003469135],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006886766,"threshold_uncertainty_score":0.5271427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04121110088803221,"score_gpt":0.328345327098328,"score_spread":0.2871342262102958,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}