{"id":"W2000166285","doi":"10.1016/s1046-5928(02)00525-9","title":"Optimization of expression and the purification by organic extraction of the integral membrane protein EmrE","year":2002,"lang":"en","type":"article","venue":"Protein Expression and Purification","topic":"Drug Transport and Resistance Mechanisms","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"ExxonMobil Research and Engineering Company","keywords":"Extraction (chemistry); Integral membrane protein; Protein purification; Chromatography; Chemistry; Solvent; Membrane; Chloroform; Organic solvent; Membrane protein; Solubility; Efflux; Yield (engineering); Aqueous solution; Amino acid; Methanol; Biochemistry; Organic chemistry; Chemical engineering; Materials science","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":[0.0004037839,0.0001554561,0.0002482646,0.00006679733,0.0001891801,0.00001910466,0.0001209685,0.0001618529,0.0001931178],"category_scores_gemma":[0.0001041303,0.00008256668,0.0000641953,0.0002321717,0.0002351051,0.0001724235,0.0000212119,0.0002112337,0.000001244497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001671515,"about_ca_system_score_gemma":0.00001842384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001285525,"about_ca_topic_score_gemma":0.000001270248,"domain_scores_codex":[0.9986022,0.000173419,0.000463596,0.0002737614,0.0003652782,0.0001217354],"domain_scores_gemma":[0.9988668,0.00003319874,0.0004715182,0.0004117121,0.0001561461,0.00006060715],"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":[0.0003835972,0.0001577964,0.00009538424,0.0002626583,0.000008248056,1.509184e-7,0.000719809,0.00001582966,0.99499,0.0006785213,0.0001019891,0.002586005],"study_design_scores_gemma":[0.001850446,0.00005618472,0.0006067874,0.0007610285,0.00005141026,0.00000635408,0.0003671683,0.003301545,0.991993,0.0002590898,0.0006546679,0.00009228407],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9303644,0.004336919,0.05398212,0.005061581,0.0001209441,0.005128895,0.00002200131,0.00007268197,0.0009104541],"genre_scores_gemma":[0.9924546,0.0005817327,0.004690267,0.00002566712,0.00003331106,0.0002342183,0.00003736122,0.00002031878,0.001922493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06209023,"threshold_uncertainty_score":0.3366972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01037607295994073,"score_gpt":0.2207269718010375,"score_spread":0.2103508988410967,"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."}}