{"id":"W2910261110","doi":"10.1042/bcj20180851","title":"Identification of substrate-specific inhibitors of cathepsin K through high-throughput screening","year":2019,"lang":"en","type":"article","venue":"Biochemical Journal","topic":"Bone Metabolism and Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Drug Research and Development; University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Collagenase; Cathepsin K; Chemistry; Biochemistry; Cathepsin; Active site; Elastase; Protease; Proteolysis; Enzyme; Proteinase 3; Biology; In vitro; Osteoclast","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004790707,0.000952881,0.001155798,0.0007822888,0.0003059428,0.0007135586,0.0005878161,0.0005458986,0.001239099],"category_scores_gemma":[0.0003646467,0.0002763233,0.000626716,0.0007832969,0.0002057157,0.0003738929,0.0003884225,0.0009076833,0.000577124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000438878,"about_ca_system_score_gemma":0.0004437025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005038775,"about_ca_topic_score_gemma":0.001902769,"domain_scores_codex":[0.9996014,0.00006523875,0.00003115941,0.00006644063,0.0001697875,0.00006595447],"domain_scores_gemma":[0.9998216,0.00004507666,0.00003886544,0.00001747736,0.00004886543,0.00002812874],"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":[0.0004191105,0.0009837978,0.001095674,0.0006032811,0.0001562429,0.000339994,0.00005075774,0.00255515,0.9623276,0.0003592546,0.001101913,0.03000723],"study_design_scores_gemma":[0.0003399956,0.005858188,0.004824972,0.00005644502,0.00043689,0.001383986,0.00007766336,0.006836029,0.9640232,0.0002378644,0.01586375,0.00006087119],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9162824,0.02917163,0.03907922,0.0007426364,0.0001727077,0.00170026,0.004505424,0.0007448423,0.007600993],"genre_scores_gemma":[0.9442595,0.01910761,0.02427249,0.0003541454,0.00005437157,0.000817956,0.004816958,0.00007252811,0.006244359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001239099,"threshold_uncertainty_score":0.004145145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01063784930638605,"score_gpt":0.2398428869796444,"score_spread":0.2292050376732583,"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."}}