{"id":"W2163527113","doi":"10.1074/mcp.m600341-mcp200","title":"Proteomics Discovery of Metalloproteinase Substrates in the Cellular Context by iTRAQ™ Labeling Reveals a Diverse MMP-2 Substrate Degradome","year":2007,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Protease and Inhibitor Mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":232,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Matrix metalloproteinase; Proteomics; Context (archaeology); Substrate (aquarium); Chemistry; Metalloproteinase; Computational biology; Cell biology; Biochemistry; Biology; Gene","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002912415,0.0003542696,0.0002509924,0.0002146205,0.0002189125,0.0005151218,0.0001726779,0.0003164713,0.0005706332],"category_scores_gemma":[0.0001902465,0.0001580118,0.0002546019,0.0002377323,0.0002256118,0.0003554537,0.0002010116,0.0005927362,0.0003550503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002404718,"about_ca_system_score_gemma":0.0001630649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003320688,"about_ca_topic_score_gemma":0.0008003032,"domain_scores_codex":[0.9998538,0.00001951522,0.000008752135,0.0000486325,0.00004496604,0.00002439928],"domain_scores_gemma":[0.9998832,0.00003067672,0.0000281687,0.00001302258,0.00002231985,0.00002263466],"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":[0.00001887164,0.000003496263,0.0001122762,0.00001228694,0.000002472224,0.00002280852,0.000006889381,0.00001350693,0.9991566,0.00003835624,0.00001471001,0.0005977731],"study_design_scores_gemma":[0.000005913089,0.00009399662,0.005550262,0.000004422403,0.00001470443,0.0006558925,0.00003012334,0.001166785,0.9902172,0.0001124904,0.002141094,0.000007100242],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9499803,0.003444017,0.04381886,0.0002712119,0.00004839578,0.00005779063,0.0006982444,0.0001427044,0.0015386],"genre_scores_gemma":[0.9227836,0.003813425,0.06817494,0.0002740071,0.00004550816,0.0001104633,0.001185625,0.00004917049,0.003563347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005706332,"threshold_uncertainty_score":0.001908958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00982316985886293,"score_gpt":0.2217184708063742,"score_spread":0.2118953009475112,"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."}}