{"id":"W4387159706","doi":"10.3791/65878","title":"High-Throughput Expression and Purification of Human Solute Carriers for Structural and Biochemical Studies","year":2023,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Drug Transport and Resistance Mechanisms","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Centre","funders":"","keywords":"Transporter; High-throughput screening; Drug discovery; Biology; Biochemistry; Small molecule; Computational biology; Membrane protein; Gene expression; Solute carrier family; Membrane transport protein; Transport protein; Cell biology; Chemistry; Gene; Membrane","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001056402,0.0005499269,0.0005630991,0.0005367594,0.0005326465,0.001029908,0.000521228,0.0005841684,0.001747738],"category_scores_gemma":[0.0008776472,0.0003080084,0.0004424276,0.0008864546,0.0002913492,0.0004382864,0.0005299235,0.001028551,0.002801155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006557223,"about_ca_system_score_gemma":0.0007621842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009721103,"about_ca_topic_score_gemma":0.002199683,"domain_scores_codex":[0.9992668,0.000148922,0.00007942769,0.0001296306,0.0003097549,0.000065413],"domain_scores_gemma":[0.999733,0.00006623136,0.00002832854,0.00006567303,0.00007801208,0.00002865184],"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":[0.00008814808,0.00007802824,0.0002636949,0.0001827023,0.0000218846,0.0001269466,0.00008265384,0.0006325519,0.9840133,0.001435896,0.003268376,0.009805798],"study_design_scores_gemma":[0.00004522094,0.0001669562,0.001464162,0.00004211024,0.00003599789,0.0004853305,0.00006098306,0.00632844,0.9269502,0.0008937485,0.06350141,0.00002542729],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3305927,0.01056664,0.6120496,0.003252273,0.0005819942,0.002975354,0.02130185,0.003936066,0.01474351],"genre_scores_gemma":[0.3906519,0.01383268,0.5231434,0.0008783833,0.0002165478,0.002215741,0.0487994,0.000927261,0.0193346],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001747738,"threshold_uncertainty_score":0.005846739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05454520442442705,"score_gpt":0.4520999227107682,"score_spread":0.3975547182863411,"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."}}