{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002511971,0.0003483782,0.0004875296,0.000186591,0.000290711,0.0007409175,0.0005088116,0.0007214315,0.002022517],"category_scores_gemma":[0.0002282702,0.0002747324,0.0006200499,0.0001961002,0.0003495906,0.0002574889,0.0003596832,0.001620137,0.001516731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004358482,"about_ca_system_score_gemma":0.0004050917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00122923,"about_ca_topic_score_gemma":0.00165319,"domain_scores_codex":[0.9996706,0.00002461085,0.00004345533,0.00008998479,0.0001060578,0.00006528073],"domain_scores_gemma":[0.9998516,0.00002779067,0.00004309553,0.00002434073,0.00001947799,0.00003370171],"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":[0.00009271924,0.00002119655,0.0001951086,0.00007509864,0.000009657375,0.0001325033,0.00004556897,0.0002928748,0.9974426,0.0003912783,0.0001681157,0.001133219],"study_design_scores_gemma":[0.00003753889,0.00008650358,0.002897242,0.00001995182,0.00003539147,0.000523477,0.00008710425,0.005858738,0.9776562,0.0001721352,0.01260254,0.00002314394],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9311249,0.002363931,0.04963891,0.0007197353,0.0003248742,0.0001953238,0.007057717,0.001138997,0.007435555],"genre_scores_gemma":[0.9621117,0.001220682,0.0244492,0.0003508916,0.00001719178,0.0002239444,0.003277777,0.0003145126,0.008034159],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002022517,"threshold_uncertainty_score":0.006765962,"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."}}