{"id":"W3206388057","doi":"10.1039/d1ob01653a","title":"Synthesis and pharmacological characterisation of arctigenin analogues as antagonists of AMPA and kainate receptors","year":2021,"lang":"en","type":"article","venue":"Organic & Biomolecular Chemistry","topic":"Plant-derived Lignans Synthesis and Bioactivity","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Occupational Cancer Research Centre; Lunenfeld-Tanenbaum Research Institute; University of Toronto; Mount Sinai Hospital","funders":"Biotechnology and Biological Sciences Research Council; Engineering and Physical Sciences Research Council; Canadian Institutes of Health Research","keywords":"Kainate receptor; AMPA receptor; Antagonist; Chemistry; Competitive antagonist; Receptor; Pharmacology; Neuroscience; Glutamate receptor; Biology; Biochemistry","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":[0.0001126237,0.0002620489,0.0002615848,0.0002561383,0.00009761538,0.0001285564,0.0001854889,0.0001461498,0.001925265],"category_scores_gemma":[0.0001242161,0.00009301963,0.0002029558,0.0003116232,0.0001003104,0.0001825845,0.00009631222,0.0003704006,0.0004069808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001914443,"about_ca_system_score_gemma":0.0001762789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006082646,"about_ca_topic_score_gemma":0.001242001,"domain_scores_codex":[0.9999443,0.00001034961,0.000005652349,0.0000104972,0.00001735733,0.00001185768],"domain_scores_gemma":[0.9999285,0.00001030161,0.00001681259,0.000008567799,0.00001892081,0.000016868],"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":[0.000105409,0.00007263702,0.00005974599,0.00009080477,0.000008156156,0.0001216256,0.00002278828,0.0004314176,0.9939864,0.0001712887,0.00005151704,0.00487817],"study_design_scores_gemma":[0.00006571612,0.001773819,0.002802191,0.00001379843,0.00003241805,0.0004803011,0.0000237731,0.0006027452,0.9854347,0.00008878418,0.008665962,0.00001594567],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9687894,0.005355017,0.01281187,0.0001459424,0.00003847944,0.0004832346,0.001966395,0.0001225569,0.01028711],"genre_scores_gemma":[0.973874,0.004237508,0.01243051,0.00009102051,0.00002047465,0.0001337927,0.002662555,0.0000301405,0.006520082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001925265,"threshold_uncertainty_score":0.006440639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006988080799883731,"score_gpt":0.2270239854819907,"score_spread":0.2200359046821069,"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."}}