{"id":"W3079012346","doi":"10.21769/bioprotoc.3715","title":"Assessing Gαq/15-signaling with IP-One: Single Plate Transfection and Assay Protocol for Cell-Based High-Throughput Assay","year":2020,"lang":"en","type":"article","venue":"BIO-PROTOCOL","topic":"Receptor Mechanisms and Signaling","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Centre Hospitalier Universitaire de Sherbrooke; Université de Sherbrooke; McGill University","funders":"Faculty of Medicine and Health, University of Sydney; Canadian Institutes of Health Research; Réseau québécois de recherche sur la douleur; Université de Sherbrooke","keywords":"Transfection; High-throughput screening; HEK 293 cells; Mutant; Ligand binding assay; Cell culture; Receptor; G protein-coupled receptor; Chemistry; Cell biology; Molecular biology; Computational biology; Biology; Biochemistry; Gene; Genetics","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":[0.003557453,0.006497546,0.004482952,0.003884014,0.002532035,0.002321434,0.007007335,0.002460966,0.03871512],"category_scores_gemma":[0.001825924,0.003174292,0.002443298,0.004248924,0.002159839,0.001536933,0.001487333,0.01000143,0.03261716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002421079,"about_ca_system_score_gemma":0.003170513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002814339,"about_ca_topic_score_gemma":0.008504485,"domain_scores_codex":[0.9930394,0.00162238,0.000804218,0.001583143,0.002135229,0.0008155872],"domain_scores_gemma":[0.9980649,0.0004825896,0.0001354165,0.0007402886,0.0003821531,0.0001946393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001104736,0.0005404328,0.0002258493,0.001311778,0.0001659616,0.0001712496,0.0003167882,0.0006958619,0.9537778,0.004605985,0.02282716,0.01425628],"study_design_scores_gemma":[0.0002320216,0.0003042172,0.001207294,0.0001115142,0.00009831735,0.0003040177,0.00004302136,0.00363022,0.9347501,0.00101092,0.05819936,0.0001090105],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05005301,0.003872605,0.8175796,0.001170537,0.0018741,0.009768218,0.0533209,0.03239839,0.02996267],"genre_scores_gemma":[0.06300768,0.005312511,0.717656,0.0008715117,0.0003834136,0.03146839,0.1001376,0.006230089,0.0749327],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03871512,"threshold_uncertainty_score":0.129515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04214115711114128,"score_gpt":0.3030761444771193,"score_spread":0.260934987365978,"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."}}