{"id":"W4412624908","doi":"10.1021/acs.jafc.5c04187","title":"Genome Mining and Heterologous Expression-Guided Discovery of Mangicol Sesterterpenoids with Antimicrobial and Antineuroinflammatory Activities","year":2025,"lang":"en","type":"article","venue":"Journal of Agricultural and Food Chemistry","topic":"Plant biochemistry and biosynthesis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"National Key Research and Development Program of China; Higher Education Discipline Innovation Project; State Key Laboratory of Bioreactor Engineering; Science and Technology Commission of Shanghai Municipality; National Natural Science Foundation of China","keywords":"Heterologous; Heterologous expression; Computational biology; Genome; Antimicrobial; Drug discovery; Biology; Biotechnology; Bioinformatics; Gene; Genetics; Microbiology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001321139,0.0003899506,0.0002477875,0.0003080525,0.0001068356,0.0002779779,0.0001829438,0.000161606,0.0005877315],"category_scores_gemma":[0.0001278389,0.00007542127,0.0003754339,0.0003491888,0.0001469912,0.0002169888,0.0002228005,0.0003198287,0.000239437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000231815,"about_ca_system_score_gemma":0.0003787556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006223121,"about_ca_topic_score_gemma":0.001423156,"domain_scores_codex":[0.9999381,0.000007908829,0.000005781666,0.00001527995,0.0000200339,0.00001282391],"domain_scores_gemma":[0.9999505,0.000007379794,0.00001789515,0.000006725854,0.00000862555,0.00000887095],"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":[0.0000549064,0.00001879327,0.0004303248,0.00006936372,0.000007098748,0.00009351382,0.00001284134,0.0002735535,0.9945567,0.0001186122,0.00002615986,0.004338135],"study_design_scores_gemma":[0.0000127396,0.0002931692,0.004742585,0.00001643497,0.00006043875,0.0004961328,0.00008061493,0.002118833,0.9865703,0.0001400845,0.005460108,0.000008528918],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9771327,0.003564727,0.01509205,0.0001999454,0.0000262865,0.00009264512,0.001507614,0.0001429973,0.002240965],"genre_scores_gemma":[0.9701682,0.002821913,0.02254606,0.00005787737,0.000009595665,0.0000382638,0.002418644,0.00003290973,0.00190641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006223121,"threshold_uncertainty_score":0.001966178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004199987342868353,"score_gpt":0.1811665228916695,"score_spread":0.1769665355488011,"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."}}