{"id":"W4391474866","doi":"10.1038/s41589-023-01532-x","title":"High-throughput reprogramming of an NRPS condensation domain","year":2024,"lang":"en","type":"article","venue":"Nature Chemical Biology","topic":"Biochemical and Structural Characterization","field":"Biochemistry, Genetics and Molecular Biology","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research; Eidgenössische Technische Hochschule Zürich; Government of Canada; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Nonribosomal peptide; Adenylylation; Yeast; Synthetic biology; Combinatorial chemistry; Substrate (aquarium); Computational biology; Chemistry; Function (biology); Biochemistry; Biology; Biosynthesis; Cell biology; 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":[0.0001704178,0.0004174755,0.0002108145,0.0001693245,0.0001301795,0.0003001653,0.0002380105,0.0001763571,0.001101179],"category_scores_gemma":[0.0001484978,0.0001415762,0.0002749974,0.0001846482,0.000160578,0.0001496222,0.0004176795,0.0004953735,0.0006511807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003312379,"about_ca_system_score_gemma":0.0001902155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004788527,"about_ca_topic_score_gemma":0.0007376338,"domain_scores_codex":[0.9998447,0.00001967397,0.00001403851,0.00004104104,0.00005459497,0.0000259372],"domain_scores_gemma":[0.9999083,0.00001958165,0.00002681839,0.00002090236,0.00001054874,0.0000138505],"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":[0.00001189669,0.000008162521,0.00005337506,0.000008607071,0.000001934857,0.00002161025,0.000006554381,0.0001357803,0.9983214,0.0001077819,0.00002087082,0.001302066],"study_design_scores_gemma":[0.000002864167,0.00004536324,0.0004988657,0.000001460596,0.000005308062,0.00007814651,0.000006589868,0.001068947,0.9956648,0.0000328832,0.002591547,0.000003152014],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9422115,0.0003093608,0.05073842,0.000083958,0.00004329667,0.0001515328,0.0008901904,0.0006287417,0.004943016],"genre_scores_gemma":[0.9705704,0.0003921232,0.02139346,0.00004087089,0.00000760556,0.00008988865,0.001306956,0.0001585677,0.006040047],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001101179,"threshold_uncertainty_score":0.003683746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004271171270126708,"score_gpt":0.2637282113757103,"score_spread":0.2594570401055836,"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."}}