{"id":"W2027290833","doi":"10.1515/bc.2011.158","title":"Factor Xa subsite mapping by proteome-derived peptide libraries improved using WebPICS, a resource for proteomic identification of cleavage sites","year":2011,"lang":"en","type":"article","venue":"Biological Chemistry","topic":"Blood Coagulation and Thrombosis Mechanisms","field":"Medicine","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"FP7 People: Marie-Curie Actions; Deutsche Forschungsgemeinschaft; Cancer Research Society; Canadian Institutes of Health Research; European Commission; Canadian Breast Cancer Research Alliance","keywords":"Cleavage (geology); Protease; Chemistry; Thrombin; Computational biology; Prime (order theory); Proteome; Identification (biology); Biochemistry; Combinatorial chemistry; Enzyme; Biology; Platelet; Immunology; Mathematics; Combinatorics","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":[0.0008412668,0.001063155,0.000865599,0.001845744,0.0005890336,0.001286049,0.0007110454,0.0003157558,0.00437232],"category_scores_gemma":[0.001091757,0.0004273716,0.0007041305,0.001509617,0.0002314789,0.000794068,0.0006809988,0.001212874,0.002351909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003261577,"about_ca_system_score_gemma":0.000375736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00060786,"about_ca_topic_score_gemma":0.00108624,"domain_scores_codex":[0.9996035,0.00005061542,0.00004166867,0.0001135198,0.0001467863,0.00004394277],"domain_scores_gemma":[0.9994318,0.0001600243,0.0001158513,0.00009646499,0.0001171216,0.00007878915],"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":[0.0004988545,0.00006586692,0.0009470821,0.0001941272,0.00006122638,0.0002068372,0.00005451099,0.0003941824,0.9762522,0.0002588623,0.001085099,0.01998131],"study_design_scores_gemma":[0.00005826896,0.0001307882,0.0078092,0.00001700209,0.00009230139,0.001078592,0.00004333276,0.00953053,0.9654377,0.0005180224,0.01524004,0.00004429919],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6603398,0.003371482,0.2928084,0.0005381698,0.0001832988,0.000451863,0.02499907,0.009651397,0.007656379],"genre_scores_gemma":[0.4690995,0.002925611,0.4629575,0.0003289044,0.0001372518,0.0006407968,0.05517971,0.002515509,0.006215307],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00437232,"threshold_uncertainty_score":0.01462692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09694586854747962,"score_gpt":0.2678984145782194,"score_spread":0.1709525460307398,"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."}}