{"id":"W2120691528","doi":"10.1142/s0219720006002284","title":"COMPARATIVE GENOMICS OF TRANSCRIPTIONAL REGULATION IN YEASTS AND ITS APPLICATION TO IDENTIFICATION OF A CANDIDATE ALPHA-ISOPROPYLMALATE TRANSPORTER","year":2006,"lang":"en","type":"article","venue":"Journal of Bioinformatics and Computational Biology","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Russian Academy of Sciences; Ludwig Institute for Cancer Research; Pew Charitable Trusts; Burroughs Wellcome Fund; Howard Hughes Medical Institute","keywords":"Biology; Start codon; Genetics; Genome; Conserved sequence; Regulator; Computational biology; Saccharomyces cerevisiae; Genomics; Gene; Peptide sequence; Messenger RNA","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":[0.0002620742,0.00006747199,0.0001791708,0.0001233789,0.00001819579,0.000004812183,0.00005325641,0.00006726084,0.000001929342],"category_scores_gemma":[0.000005841251,0.00006009823,0.000033172,0.00006235004,0.00003812524,0.00001364035,0.000008731882,0.00003083968,3.429792e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007378032,"about_ca_system_score_gemma":0.00004297521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007873443,"about_ca_topic_score_gemma":0.00001057972,"domain_scores_codex":[0.9991164,0.00002689878,0.0006520111,0.00006853692,0.00007548744,0.00006068596],"domain_scores_gemma":[0.999291,0.0000160623,0.0004411042,0.00004013496,0.0001846047,0.00002711504],"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":[0.0001838364,0.00004073951,0.0009484497,0.00004357687,0.00002683384,1.153953e-7,0.0002908877,0.008415645,0.9825503,0.004326137,0.000006198368,0.003167316],"study_design_scores_gemma":[0.001801487,0.001021169,0.2826375,0.00007512489,0.00005401122,0.00008754236,0.0002260109,0.06141545,0.6314104,0.02028742,0.0007352091,0.0002486307],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8539762,0.0002887834,0.145405,0.00008946913,0.00002417634,0.0001446603,0.00004487834,6.081017e-7,0.00002624387],"genre_scores_gemma":[0.9930228,0.00005914561,0.00676339,0.0000245607,0.0000270098,0.00000395712,0.0000898276,0.000002902624,0.000006377666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3511398,"threshold_uncertainty_score":0.2450735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007871627652280947,"score_gpt":0.2403951557979113,"score_spread":0.2325235281456304,"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."}}