{"id":"W4394762841","doi":"10.1021/acssynbio.4c00019","title":"Metabolic Engineering of <i>Corynebacterium glutamicum</i> for Highly Efficient Production of Ectoine","year":2024,"lang":"en","type":"article","venue":"ACS Synthetic Biology","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of New Brunswick","funders":"Zhejiang University of Technology; Natural Science Foundation of Zhejiang Province; National Natural Science Foundation of China","keywords":"Ectoine; Corynebacterium glutamicum; Metabolic engineering; Fermentation; Biochemistry; Biology; Industrial microbiology; Escherichia coli; Industrial fermentation; Operon; Osmoprotectant; Gene; Amino acid; Proline","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002727378,0.000144003,0.0002441349,0.0001115251,0.0000157489,0.000004348798,0.0001104087,0.000146647,0.00000336561],"category_scores_gemma":[0.0002069314,0.0001221046,0.0001105847,0.0001529047,0.00007985374,0.000002134402,0.00004040595,0.00005923382,0.000001828587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005775982,"about_ca_system_score_gemma":0.00003392893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001087015,"about_ca_topic_score_gemma":9.987094e-7,"domain_scores_codex":[0.9991086,0.00002405499,0.0002852617,0.0003545648,0.00003949119,0.0001879856],"domain_scores_gemma":[0.9995245,0.00001213961,0.00006563052,0.0002794532,0.00009243285,0.00002583926],"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":[0.00003678845,0.00003968905,0.00001181813,0.0002264822,0.00008523472,1.070346e-7,0.00003105616,0.001411207,0.9922255,0.001429492,0.0001114491,0.004391155],"study_design_scores_gemma":[0.0001020588,0.0001646512,0.00009062159,0.00004521015,0.00006045603,0.00002759555,0.000006324949,0.0003288164,0.9341678,0.00002044433,0.06487085,0.0001151485],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9811925,0.005796617,0.0100702,0.0001997214,0.00237847,0.000247822,0.00006046025,0.00003591842,0.00001824436],"genre_scores_gemma":[0.9970646,0.00033461,0.00179424,0.000007782055,0.000515123,0.00002984352,0.00007067429,0.0000254758,0.0001576795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0647594,"threshold_uncertainty_score":0.4979279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005030789855927213,"score_gpt":0.2167752896567741,"score_spread":0.2117444998008468,"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."}}