{"id":"W2253716040","doi":"10.1038/ncomms9421","title":"An automated Genomes-to-Natural Products platform (GNP) for the discovery of modular natural products","year":2015,"lang":"en","type":"article","venue":"Nature Communications","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":142,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; University of Waterloo; McMaster University","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Joint Programming Initiative on Antimicrobial Resistance","keywords":"Genome; Computational biology; Natural product; Nonribosomal peptide; Identification (biology); Biology; Modular design; Drug discovery; Computer science; Genetics; Bioinformatics; Gene; Biosynthesis; Biochemistry","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":[0.001020231,0.001435394,0.0006561005,0.001045073,0.0004890229,0.0009238616,0.0008518131,0.0006572749,0.004005746],"category_scores_gemma":[0.002079487,0.0005381828,0.0007877485,0.0006775038,0.0004438914,0.0007193657,0.001259149,0.001259631,0.002317434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004407478,"about_ca_system_score_gemma":0.001015546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000928307,"about_ca_topic_score_gemma":0.001279293,"domain_scores_codex":[0.9995012,0.0001090494,0.00002795293,0.0001750703,0.0001498007,0.00003691962],"domain_scores_gemma":[0.9993876,0.0002953098,0.000093064,0.00009990206,0.00006708233,0.00005707435],"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":[0.002354062,0.0004464676,0.006191249,0.0009945091,0.0004560391,0.001341336,0.0004647902,0.01897771,0.6884341,0.007262982,0.0281059,0.244971],"study_design_scores_gemma":[0.0005246639,0.000824213,0.007913064,0.0001159799,0.0001801668,0.001751503,0.0001303048,0.2524254,0.6320827,0.01295202,0.09085804,0.0002419335],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08668017,0.0007614394,0.7745218,0.0004652573,0.0001405313,0.0004593261,0.01397941,0.1182099,0.004782254],"genre_scores_gemma":[0.1412856,0.0004082734,0.8351156,0.0002907448,0.0000339039,0.0005698961,0.01604884,0.004029131,0.002218023],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004005746,"threshold_uncertainty_score":0.01340061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04220684354348562,"score_gpt":0.3280625440542513,"score_spread":0.2858557005107656,"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."}}