{"id":"W2911943528","doi":"10.1111/pbi.13092","title":"Activity‐based proteomics reveals nine target proteases for the recombinant protein‐stabilizing inhibitor <i>Sl</i><scp>CYS</scp>8 in <i>Nicotiana benthamiana</i>","year":2019,"lang":"en","type":"article","venue":"Plant Biotechnology Journal","topic":"Enzyme Production and Characterization","field":"Biochemistry, Genetics and Molecular Biology","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Horizon 2020 Framework Programme; H2020 European Research Council; Deutsche Forschungsgemeinschaft","keywords":"Proteases; Cystatin; Nicotiana benthamiana; Biology; Biochemistry; Proteolysis; Cysteine protease; Recombinant DNA; Protease; Cathepsin; Serine protease; Lipid-anchored protein; Enzyme; Cystatin C","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":[0.0006847245,0.0002550226,0.0002758294,0.0001834249,0.0002144747,0.00006535279,0.000374739,0.0005149502,0.00001481002],"category_scores_gemma":[0.0005189536,0.000195376,0.0001248282,0.0002231254,0.0001080412,0.0000227442,0.00009654163,0.0006268487,0.000008014987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000593811,"about_ca_system_score_gemma":0.0001773522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001014724,"about_ca_topic_score_gemma":0.00003203551,"domain_scores_codex":[0.9983736,0.0001122323,0.0004124931,0.0004719916,0.0001583986,0.0004712846],"domain_scores_gemma":[0.9989126,0.00005176463,0.0004255739,0.0004323836,0.0001069227,0.00007070877],"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":[0.0001615117,0.0001885825,0.004194021,0.00007102964,0.00004129959,0.000004335345,0.00001994515,0.00008604014,0.9926838,0.00007172413,0.001617518,0.0008602019],"study_design_scores_gemma":[0.001303213,0.0004983306,0.0005627653,0.0001184457,0.00001570289,0.0001834794,0.0001045269,0.0005116827,0.9433734,0.0001062489,0.05308929,0.0001329009],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9815465,0.0006891651,0.008766881,0.005664469,0.0006453989,0.00249265,0.0001270642,0.000043606,0.00002422668],"genre_scores_gemma":[0.9925938,0.0003526808,0.004799099,0.0003800874,0.0004007258,0.0003535346,0.0001780014,0.00005339853,0.0008887245],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05147178,"threshold_uncertainty_score":0.7967203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008676090553829187,"score_gpt":0.2132555235961155,"score_spread":0.2045794330422863,"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."}}