{"id":"W3016125372","doi":"10.1021/acs.orglett.0c00818","title":"Incarnatapeptins A and B, Nonribosomal Peptides Discovered Using Genome Mining and <sup>1</sup>H/<sup>15</sup>N HSQC-TOCSY","year":2020,"lang":"en","type":"article","venue":"Organic Letters","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Cancer Institute; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"LNCaP; Chemistry; Heteronuclear single quantum coherence spectroscopy; Genome; Cytotoxicity; Drug discovery; Isolation (microbiology); In vitro; Computational biology; Combinatorial chemistry; Stereochemistry; Prostate cancer; Biochemistry; Two-dimensional nuclear magnetic resonance spectroscopy; Cancer; Gene; Genetics; Biology; Bioinformatics","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":[0.0001707456,0.0004919195,0.000321265,0.0005432288,0.0002856748,0.0003726198,0.0002536729,0.0003445507,0.001193959],"category_scores_gemma":[0.0003573491,0.0001647104,0.0002830761,0.00053815,0.0003246685,0.0003338766,0.000350213,0.0008248959,0.0004629013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001305519,"about_ca_system_score_gemma":0.0003307356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002865638,"about_ca_topic_score_gemma":0.00101429,"domain_scores_codex":[0.9998717,0.00001628958,0.000008717446,0.0000521747,0.00003658824,0.00001448988],"domain_scores_gemma":[0.9997413,0.00007522937,0.00009125675,0.00002462148,0.00002987582,0.00003767509],"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":[0.0001049118,0.00002385911,0.0004573215,0.00007822333,0.00001252407,0.00008864204,0.00002106461,0.00008411072,0.9906973,0.00007836401,0.00005204793,0.008301831],"study_design_scores_gemma":[0.00001766773,0.0003116153,0.005669808,0.00001039725,0.00002855391,0.001146193,0.00005341643,0.0005547443,0.9877813,0.0002947699,0.004117521,0.00001419516],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9319943,0.007129143,0.05254192,0.0004906874,0.00006001674,0.0002297018,0.003358544,0.0003825806,0.003813029],"genre_scores_gemma":[0.8614116,0.005979885,0.1218958,0.0004915325,0.0000610105,0.0001481034,0.006613309,0.00009885988,0.00329984],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001193959,"threshold_uncertainty_score":0.003994226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01747580589586178,"score_gpt":0.2197265355587545,"score_spread":0.2022507296628927,"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."}}