{"id":"W4297477901","doi":"10.3390/md20100610","title":"In Silico Analysis of Bioactive Peptides Produced from Underutilized Sea Cucumber By-Products—A Bioinformatics Approach","year":2022,"lang":"en","type":"article","venue":"Marine Drugs","topic":"Protein Hydrolysis and Bioactive Peptides","field":"Biochemistry, Genetics and Molecular Biology","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Scheme for Promotion of Academic and Research Collaboration; Hospital for Sick Children","keywords":"In silico; Computational biology; Sea cucumber; Functional food; Food products; Peptide; Chemistry; Biology; Biochemistry; Bioinformatics; Food science; Gene","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":[0.0002656587,0.0006293095,0.0004510751,0.0004066295,0.0002209065,0.0005588213,0.000361859,0.0003894063,0.001288805],"category_scores_gemma":[0.0003135026,0.0001799084,0.0006181052,0.0003314533,0.0001133207,0.0002293667,0.0001985979,0.0002721686,0.0002964934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002849835,"about_ca_system_score_gemma":0.0004310817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001257795,"about_ca_topic_score_gemma":0.001681058,"domain_scores_codex":[0.9999281,0.00001510957,0.000005464476,0.00001859589,0.00002153231,0.00001110706],"domain_scores_gemma":[0.9999024,0.00004695323,0.00002277432,0.000004175093,0.00001405569,0.000009714883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001230264,0.0004337069,0.02584544,0.001230036,0.0003180417,0.001737754,0.0001210834,0.3654827,0.5821768,0.00167881,0.0007766562,0.01896867],"study_design_scores_gemma":[0.0000629389,0.0008923784,0.01009772,0.00002498392,0.0001759703,0.000538788,0.00009470052,0.8930609,0.0917398,0.000584322,0.00269888,0.00002860912],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9810442,0.0004327281,0.01494267,0.00008420028,0.00001274106,0.00005668833,0.001665844,0.0003264336,0.001434481],"genre_scores_gemma":[0.952355,0.0008938943,0.0410434,0.00005861511,0.000007403798,0.0001197093,0.004289363,0.00007915481,0.001153311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001288805,"threshold_uncertainty_score":0.004311442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007418546724173854,"score_gpt":0.2287707125619754,"score_spread":0.2213521658378015,"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."}}