{"id":"W2601724470","doi":"10.1016/j.pep.2017.03.019","title":"Optimization of overexpression of a chaperone protein of steroid C25 dehydrogenase for biochemical and biophysical characterization","year":2017,"lang":"en","type":"article","venue":"Protein Expression and Purification","topic":"Metalloenzymes and iron-sulfur proteins","field":"Energy","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"Biological and Environmental Research; National Center for Research Resources; Narodowe Centrum Nauki; National Institute of General Medical Sciences; Canada Research Chairs; Narodowe Centrum Badań i Rozwoju; National Institutes of Health; Natural Sciences and Engineering Research Council of Canada; Fundacja na rzecz Nauki Polskiej; Ministerstwo Edukacji i Nauki; Canadian Institutes of Health Research; Saskatchewan Health Research Foundation","keywords":"Molybdenum cofactor; Biochemistry; Chaperone (clinical); Chemistry; Cofactor; Enzyme; Escherichia coli; Dehydrogenase; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002366252,0.0001644941,0.0003261105,0.00008403925,0.0001508829,0.0000289439,0.0001757204,0.0001706532,0.00003522288],"category_scores_gemma":[0.0002192357,0.0001379006,0.00006031811,0.00005155547,0.0001988486,0.0003164221,0.00007911587,0.00006563529,3.729821e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007549228,"about_ca_system_score_gemma":0.00002111979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000468611,"about_ca_topic_score_gemma":4.71132e-7,"domain_scores_codex":[0.9987271,0.00007960958,0.0005127335,0.0003292147,0.0002137903,0.0001375983],"domain_scores_gemma":[0.9982398,0.00002285358,0.0009845229,0.0005040058,0.000169979,0.00007888139],"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":[0.000379008,0.0001998898,0.00003341495,0.0006041906,0.0000108571,5.513652e-8,0.000167532,0.00004702,0.9881692,0.004797271,0.00000388981,0.005587687],"study_design_scores_gemma":[0.0010585,0.0002101001,0.0008009161,0.0007114238,0.00001696065,6.101535e-7,0.00002340322,0.01406673,0.9822927,0.0004317337,0.0002540131,0.0001329038],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9742633,0.0001605195,0.02369542,0.0001419483,0.00002076579,0.001546655,0.00006980522,0.00001584806,0.00008570393],"genre_scores_gemma":[0.983517,0.00007355102,0.01569825,0.00000448024,0.00005421916,0.0003226697,0.0001594123,0.00002314209,0.000147259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01401971,"threshold_uncertainty_score":0.5623422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01852772739763069,"score_gpt":0.2480368459655984,"score_spread":0.2295091185679677,"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."}}