{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002747728,0.000765203,0.0007580247,0.0002129791,0.0003696211,0.0006971406,0.00064819,0.0004257048,0.002779875],"category_scores_gemma":[0.0004235848,0.0003462135,0.0005174806,0.0002232002,0.0001970939,0.0002252709,0.0002085356,0.0005038636,0.0006511841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000647972,"about_ca_system_score_gemma":0.0005335039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003722525,"about_ca_topic_score_gemma":0.003805842,"domain_scores_codex":[0.9997773,0.000041871,0.00001661845,0.00003021821,0.00008554361,0.00004857204],"domain_scores_gemma":[0.9999194,0.0000253634,0.00001047934,0.000009379546,0.00002051023,0.00001483421],"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":[0.00220682,0.0002872888,0.002409572,0.0003214605,0.0002234716,0.0005356834,0.0001184522,0.1137284,0.8652967,0.002073085,0.001178858,0.01162031],"study_design_scores_gemma":[0.0002014033,0.0005474432,0.00297331,0.00001312741,0.000142271,0.0004531098,0.0001746296,0.4067938,0.584946,0.0003169778,0.003391164,0.00004681612],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850026,0.0004285038,0.01042864,0.0001760578,0.0000240789,0.00003207382,0.001091099,0.0002695405,0.002547485],"genre_scores_gemma":[0.9890651,0.0003495998,0.007392489,0.00003862544,0.00000257392,0.00002344801,0.001754605,0.00006016227,0.00131341],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003722525,"threshold_uncertainty_score":0.009299576,"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."}}