{"id":"W2345189907","doi":"10.1016/j.copbio.2016.04.006","title":"Evolving medicinal chemistry strategies in antibiotic discovery","year":2016,"lang":"en","type":"review","venue":"Current Opinion in Biotechnology","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":54,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Drug discovery; Antibiotics; Antibiotic resistance; Chemical space; Natural product; Biochemical engineering; Biotechnology; Biology; Computational biology; Bioinformatics; Microbiology; Engineering","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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0002824644,0.0004851246,0.001793168,0.0006594264,0.00002747383,0.00003325376,0.0003720032,0.001337765,0.0001230304],"category_scores_gemma":[0.000402955,0.0003020857,0.0002333611,0.000750341,0.0003548849,0.0001399778,0.000215604,0.001518274,0.00005611953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003616082,"about_ca_system_score_gemma":0.0006485835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001408538,"about_ca_topic_score_gemma":0.000001924712,"domain_scores_codex":[0.9975684,0.00006669479,0.0008696385,0.0008185009,0.0001682946,0.000508441],"domain_scores_gemma":[0.9988999,0.0001003149,0.0003169224,0.0005918603,0.00003390966,0.00005707884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001353599,0.0001398958,0.00001887439,0.04270931,0.00002924422,0.00001030045,0.000006032037,1.319003e-8,0.0008259316,0.0003746104,0.002637015,0.9532353],"study_design_scores_gemma":[0.0003851308,0.00005202014,0.00001939694,0.127595,0.00005808294,0.0001513374,0.00003054518,0.000001149283,0.0004181271,0.00008062776,0.8708947,0.0003139173],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00006742483,0.9931092,0.00001391583,0.001153152,0.004691456,0.0006782772,0.00004209067,0.00009037019,0.0001540687],"genre_scores_gemma":[0.0008736024,0.9974993,0.00004631953,0.000005253682,0.001307416,0.000004646077,0.000130422,0.0000369538,0.00009611954],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9529213,"threshold_uncertainty_score":0.9999587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05304151980777216,"score_gpt":0.3653811533169164,"score_spread":0.3123396335091442,"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."}}