{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003934381,0.0005653172,0.0004658787,0.0002843414,0.0003297712,0.0005163867,0.0003169308,0.0002602122,0.0004215206],"category_scores_gemma":[0.0003991096,0.000178196,0.0003747358,0.0007544545,0.0002722963,0.0002713659,0.0003071636,0.0004813344,0.0002369062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007755868,"about_ca_system_score_gemma":0.0005993233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003610655,"about_ca_topic_score_gemma":0.003910852,"domain_scores_codex":[0.9997411,0.00003468012,0.00003961534,0.00005105047,0.00007368675,0.00005995046],"domain_scores_gemma":[0.9997784,0.00004412505,0.00004421461,0.00003754532,0.00005124579,0.00004445485],"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":[0.00005053856,0.00003712213,0.0001560032,0.00002311918,0.000004678327,0.00002952502,0.00001527739,0.0001505131,0.9985207,0.0000831018,0.00003879037,0.0008905982],"study_design_scores_gemma":[0.000007331616,0.00005242772,0.001475566,0.000003178836,0.00001616998,0.00006041096,0.00002665267,0.001306104,0.9949604,0.00004236916,0.002043577,0.000005769731],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9825006,0.0006524569,0.01448075,0.0002027942,0.00005213364,0.0001031641,0.0009013915,0.0001871614,0.0009195565],"genre_scores_gemma":[0.9812416,0.0006036643,0.01328504,0.00004005855,0.00001241716,0.00009233307,0.002406728,0.00009481556,0.002223411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003610655,"threshold_uncertainty_score":0.00717926,"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."}}