{"id":"W2034788651","doi":"10.1007/s10295-013-1269-3","title":"Genome-scale modeling enables metabolic engineering of <i>Saccharomyces cerevisiae</i> for succinic acid production","year":2013,"lang":"en","type":"article","venue":"Journal of Industrial Microbiology & Biotechnology","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fondation Chalmers; Knut och Alice Wallenbergs Stiftelse","keywords":"Saccharomyces cerevisiae; Succinic acid; Metabolic engineering; Flux balance analysis; In silico; Overproduction; Yeast; Biochemistry; Flux (metallurgy); Biology; Genome; Gene; Computational biology; Chemistry; Organic chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001551036,0.0006138968,0.0003933753,0.0001732574,0.0001898937,0.0005832526,0.000392073,0.0003830105,0.0007052126],"category_scores_gemma":[0.0003584527,0.0002305437,0.0004954627,0.0001789573,0.0001315988,0.0002838904,0.0002405296,0.0003244575,0.0001718194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004284885,"about_ca_system_score_gemma":0.0005678788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00854261,"about_ca_topic_score_gemma":0.006616083,"domain_scores_codex":[0.9999638,0.00001161385,0.000002152744,0.000008795036,0.000009170105,0.000004510257],"domain_scores_gemma":[0.9999316,0.00003404978,0.00000915149,0.0000104043,0.000009929529,0.000004935875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004596162,0.00003705634,0.001830071,0.00004341271,0.00002724671,0.00007406311,0.00001927572,0.9724762,0.02070508,0.001373256,0.000126101,0.003242296],"study_design_scores_gemma":[0.000006917877,0.00001709253,0.0002701641,0.000001965214,0.000009707306,0.000009925196,0.000007489316,0.9954361,0.003179193,0.0005523424,0.0005058036,0.000003313601],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7108501,0.000258224,0.2786985,0.0002783305,0.00005129444,0.00006245304,0.001155492,0.00158708,0.007058564],"genre_scores_gemma":[0.9468079,0.0002752033,0.05155482,0.00002506889,0.000005793686,0.00005902254,0.0005433959,0.0001069596,0.0006218736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00854261,"threshold_uncertainty_score":0.01698577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01175211796394361,"score_gpt":0.2023372392884342,"score_spread":0.1905851213244906,"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."}}