{"id":"W2963185661","doi":"10.1021/acs.jproteome.9b00325","title":"Deep Profiling of the Cleavage Specificity and Human Substrates of Snake Venom Metalloprotease HF3 by Proteomic Identification of Cleavage Site Specificity (PICS) Using Proteome Derived Peptide Libraries and Terminal Amine Isotopic Labeling of Substrates (TAILS) N-Terminomics","year":2019,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Venomous Animal Envenomation and Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado de São Paulo; Canada Foundation for Innovation","keywords":"Proteases; Cleavage (geology); Metalloproteinase; Biochemistry; Biology; Protease; Exopeptidase; Peptide library; Proteolysis; Chemistry; Molecular biology; Matrix metalloproteinase; Peptide; Peptide sequence; Enzyme","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":[0.001497806,0.0001790165,0.0005214655,0.0001785669,0.0001484501,0.00005108011,0.0003108065,0.0001308944,0.000007011445],"category_scores_gemma":[0.0001880868,0.0001322882,0.0001242977,0.0001996712,0.0006382688,0.00005713289,0.000232443,0.0003283686,3.070492e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003018962,"about_ca_system_score_gemma":0.0001524782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007187251,"about_ca_topic_score_gemma":0.00002358798,"domain_scores_codex":[0.9976883,0.0002690438,0.001100828,0.0002633956,0.0004344411,0.000243977],"domain_scores_gemma":[0.9977712,0.00004300613,0.001258394,0.0002917403,0.0005643379,0.00007131464],"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":[0.0003249517,0.0001702143,0.05831917,0.0009849912,0.00009620231,0.000002507593,0.0003494556,0.00003837488,0.9395366,0.00007780916,0.000002547989,0.00009721364],"study_design_scores_gemma":[0.0006038758,0.0007943875,0.07601193,0.0001890354,0.00003368995,0.00003010941,0.0009436277,0.0002901788,0.9207748,0.0002111229,0.000007416213,0.0001098144],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974521,0.0007407088,0.0001912937,0.00004346346,0.00002280078,0.001466578,0.00004534609,0.00000192585,0.00003575088],"genre_scores_gemma":[0.9965449,0.0001688566,0.003121801,0.000001820639,0.00005942112,0.00001383162,0.000008849755,0.00002087015,0.00005965906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01876174,"threshold_uncertainty_score":0.5394557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03600948243359695,"score_gpt":0.3042720669059235,"score_spread":0.2682625844723265,"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."}}