{"id":"W4313487152","doi":"10.21203/rs.3.rs-2437256/v1","title":"Efficient production of isobutanol from glycerol in Klebsiella pneumoniae: Regulation of acetohydroxyacid synthase, a rate-limiting enzyme in isobutanol biosynthesis at gene expression level","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"Korea Research Institute of Bioscience and Biotechnology; Korea Institute for Advancement of Technology; Ministry of Trade, Industry and Energy","keywords":"Isobutanol; Glycerol; Biochemistry; Biosynthesis; Enzyme; Metabolic engineering; Klebsiella pneumoniae; Chemistry; Biology; Gene; Escherichia coli; Alcohol","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002157562,0.0005347063,0.0003924443,0.0001638281,0.0001315875,0.0005085151,0.0002885517,0.0002749523,0.0005159313],"category_scores_gemma":[0.0002279807,0.0002047389,0.0002949172,0.0001975379,0.0002475083,0.0002177968,0.0003667801,0.0005791779,0.0003718619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004321101,"about_ca_system_score_gemma":0.0003692679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001519561,"about_ca_topic_score_gemma":0.001679187,"domain_scores_codex":[0.9996473,0.00004959696,0.00005850028,0.00007282804,0.0001034945,0.00006837269],"domain_scores_gemma":[0.9997856,0.00004379058,0.00006147117,0.00003075129,0.00004164789,0.00003682905],"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":[0.00006736213,0.00002425738,0.0001117499,0.0000289732,0.000002431012,0.00001088626,0.000009663642,0.00004768111,0.9992796,0.00001317944,0.000008979262,0.0003953244],"study_design_scores_gemma":[0.000008234311,0.0001318417,0.00165885,0.00000533619,0.00001236852,0.00004496667,0.00003316944,0.0009146212,0.9967002,0.00001219505,0.0004714114,0.000006804839],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943596,0.0007284896,0.003711773,0.00009319528,0.00002863558,0.00003492248,0.0003762542,0.00006544706,0.0006016723],"genre_scores_gemma":[0.9926673,0.0004635939,0.004822932,0.00003645228,0.000005467036,0.00004212599,0.0005968324,0.00004168106,0.001323657],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001519561,"threshold_uncertainty_score":0.003135145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05006903413237904,"score_gpt":0.3115553258553911,"score_spread":0.2614862917230121,"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."}}