{"id":"W2015369429","doi":"10.2174/138161207779313524","title":"Proteomic Validation of Protease Drug Targets: Pharmacoproteomics of Matrix Metalloproteinase Inhibitor Drugs Using Isotope-Coded Affinity Tag Labelling and Tandem Mass Spectrometry","year":2006,"lang":"en","type":"review","venue":"Current Pharmaceutical Design","topic":"Protease and Inhibitor Mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Proteomics; Matrix metalloproteinase; Chemistry; Proteome; Protease; Matrix metalloproteinase inhibitor; Cell culture; Tandem mass spectrometry; Proteases; Biochemistry; Biology; Enzyme; Mass spectrometry","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":[0.0005520991,0.0008074863,0.0008890353,0.001333229,0.0001317997,0.0004999056,0.0005949578,0.0007104036,0.0008111598],"category_scores_gemma":[0.0003317461,0.0002167961,0.0002524518,0.001220985,0.0002887551,0.0006649649,0.000212224,0.0006047388,0.001400404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000478411,"about_ca_system_score_gemma":0.0003269269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002854709,"about_ca_topic_score_gemma":0.0004974901,"domain_scores_codex":[0.9998236,0.00002426651,0.00001352813,0.00003009723,0.00009583624,0.00001259215],"domain_scores_gemma":[0.9998493,0.0000439478,0.00002911637,0.000008337396,0.00005665312,0.00001272688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001637288,0.000176824,0.0003584162,0.005776587,0.00008968262,0.0004241105,0.00003700886,0.0008481673,0.1335261,0.003143154,0.006214801,0.8492415],"study_design_scores_gemma":[0.0001155955,0.0007646478,0.00484363,0.0007185113,0.0002240679,0.006560648,0.00007163335,0.002277961,0.1469904,0.002840539,0.8345226,0.00006978005],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00402865,0.9824668,0.008636218,0.0003814126,0.00023514,0.00003560858,0.00005969222,0.00007936599,0.004077115],"genre_scores_gemma":[0.01944914,0.9643112,0.01038116,0.0004711756,0.0001640204,0.0000610537,0.0001744787,0.00001281531,0.004974957],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.001333229,"threshold_uncertainty_score":0.003471196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06770300234019169,"score_gpt":0.3688396085577238,"score_spread":0.3011366062175321,"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."}}