{"id":"W4220746170","doi":"10.1139/cjc-2021-0324","title":"A privileged dual action Alzheimer's disease therapeutic platform targeting immunopathic and proteopathic mechanisms: (<i>E</i>)-3-styrylindoles as inhibitors of indoleamine 2,3-dioxygenase-mediated tryptophan metabolism and β-amyloid aggregation","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Chemistry","topic":"Tryptophan and brain disorders","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"Canadian Institutes of Health Research; Krembil Foundation; University of Toronto; Compute Canada","keywords":"Chemistry; Neuroinflammation; Small molecule; Microglia; Biochemistry; Docking (animal); Indoleamine 2,3-dioxygenase; Tryptophan; Pharmacology; Amino acid; Inflammation; Immunology; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.00008665163,0.0003504356,0.0002203243,0.000150768,0.00009823261,0.0002579403,0.0002406787,0.0002652419,0.0007072991],"category_scores_gemma":[0.00003851266,0.000100585,0.0001444978,0.00007673509,0.0001290036,0.0001720494,0.0001350194,0.0003749682,0.0002508824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001644147,"about_ca_system_score_gemma":0.0001666666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003619832,"about_ca_topic_score_gemma":0.0007700022,"domain_scores_codex":[0.9999639,0.000006894493,0.000001951159,0.000006167343,0.000007274519,0.00001386594],"domain_scores_gemma":[0.9999799,0.000002626863,0.000006110674,0.000001940457,0.000003469858,0.000006004056],"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":[0.0001807742,0.00007243593,0.00004256568,0.00007398064,0.000006428528,0.0001270838,0.0000144759,0.0003142089,0.9900717,0.0006517376,0.0002076137,0.008237112],"study_design_scores_gemma":[0.00009749256,0.001976469,0.0007578022,0.00001117754,0.00003340538,0.0004731862,0.00001270137,0.001830887,0.9858565,0.0001350694,0.008803487,0.00001171191],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9644202,0.009714249,0.01502737,0.0003156258,0.00008619731,0.000146588,0.0003700248,0.0003827907,0.009536921],"genre_scores_gemma":[0.9865505,0.003787679,0.005758738,0.0001015717,0.00002654292,0.00005677732,0.0001563679,0.00001363932,0.003548172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007072991,"threshold_uncertainty_score":0.002366126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01800797479253128,"score_gpt":0.2247433523029218,"score_spread":0.2067353775103906,"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."}}