{"id":"W2123746816","doi":"10.1124/mol.108.054254","title":"Functional Characterization and In Silico Docking of Full and Partial GluK2 Kainate Receptor Agonists","year":2009,"lang":"en","type":"article","venue":"Molecular Pharmacology","topic":"Neuroscience and Neuropharmacology Research","field":"Neuroscience","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Kainate receptor; Partial agonist; Kainic acid; Agonist; Ionotropic glutamate receptor; Ionotropic effect; AMPA receptor; Docking (animal); Chemistry; Glutamate receptor; Stereochemistry; Receptor; Biochemistry","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":[0.0002170695,0.0001315057,0.0001890281,0.0002268132,0.0001108892,0.00002410443,0.0001361287,0.00006815539,0.0001010331],"category_scores_gemma":[0.0001120069,0.000135815,0.00002525825,0.0003774001,0.000338182,0.0001688406,0.00009726919,0.0002632281,0.000007967045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001741957,"about_ca_system_score_gemma":0.00004711554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001232521,"about_ca_topic_score_gemma":2.07286e-7,"domain_scores_codex":[0.9983045,0.0004161228,0.0002334692,0.0004988108,0.0001937312,0.0003533474],"domain_scores_gemma":[0.9995782,0.0001159971,0.0000881211,0.00007983334,0.00002996404,0.0001078724],"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":[0.0003696383,0.0001261835,0.000560714,0.00001182095,0.000001913097,0.0001870854,0.0000534154,0.00004655979,0.9953789,0.0002220867,0.00004400743,0.002997652],"study_design_scores_gemma":[0.001119067,0.0003253287,0.008980582,0.000004396255,0.000009306656,0.00009805595,0.000002581337,0.002942312,0.9852819,0.00004826422,0.00108269,0.0001055099],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968004,0.00004813041,0.0002254771,0.002192209,0.0003659112,0.0002859574,0.000008072153,0.0000243081,0.00004958841],"genre_scores_gemma":[0.9959604,0.000287237,0.000008949892,0.003612288,0.00004749368,0.00001951536,0.000002123829,0.000009551221,0.00005250359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01009702,"threshold_uncertainty_score":0.5538377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02831635872958226,"score_gpt":0.3232201031934914,"score_spread":0.2949037444639091,"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."}}