{"id":"W3093267478","doi":"10.1038/s41598-020-73674-0","title":"Dissecting the roles of GRK2 and GRK3 in μ-opioid receptor internalization and β-arrestin2 recruitment using CRISPR/Cas9-edited HEK293 cells","year":2020,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Receptor Mechanisms and Signaling","field":"Biochemistry, Genetics and Molecular Biology","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Institute for Research in Immunology and Cancer","funders":"Horizon 2020; Canadian Institutes of Health Research; Knud Højgaards Fond; Novo Nordisk Fonden; Oticon Fonden; Novo Nordisk; H. Lundbeck A/S; Lundbeckfonden; Carlsbergfondet; European Commission; Toyota Foundation; Sundhed og Sygdom, Det Frie Forskningsråd","keywords":"CRISPR; Internalization; HEK 293 cells; Computational biology; Biology; Bioinformatics; Chemistry; Receptor; Genetics; 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":[0.0006534216,0.0001043434,0.0001315723,0.00004178644,0.0001231677,0.00009716925,0.00006860898,0.00006226148,0.00002668605],"category_scores_gemma":[0.0001977451,0.00008042291,0.00003351006,0.0001658979,0.0001029224,0.000009249955,0.0001239305,0.00006415363,2.507791e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008749909,"about_ca_system_score_gemma":0.00003836731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003060541,"about_ca_topic_score_gemma":0.0000343258,"domain_scores_codex":[0.9988255,0.00005160991,0.0003543054,0.0004616194,0.0001637926,0.0001431721],"domain_scores_gemma":[0.9993821,0.00001267576,0.0002396432,0.0001976739,0.00009754232,0.000070317],"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":[0.00001586327,0.00001199619,0.004469451,0.00003308987,0.000008942142,0.000008092787,0.0008069347,0.0002501164,0.9930412,0.00001380636,0.0003135133,0.001027065],"study_design_scores_gemma":[0.0001065148,0.00005889895,0.0001398317,0.00006926183,0.00001130217,0.00002446224,0.0006871463,0.002468941,0.9903003,0.0002873465,0.005745333,0.0001006577],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940535,0.0008420233,0.00303595,0.00006159113,0.001683557,0.0002849524,0.000002060084,0.000005983672,0.00003033194],"genre_scores_gemma":[0.9988493,0.00005055282,0.0007962503,0.00003985759,0.0001340764,0.000008155512,0.00003009854,0.00001173437,0.00007993718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005431819,"threshold_uncertainty_score":0.3279551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0345629937679497,"score_gpt":0.2759608678766244,"score_spread":0.2413978741086747,"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."}}