{"id":"W2057349526","doi":"10.1111/cbdd.12552","title":"Curcumin Binding to Beta Amyloid: A Computational Study","year":2015,"lang":"en","type":"article","venue":"Chemical Biology & Drug Design","topic":"Curcumin's Biomedical Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":129,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo; Ontario Mental Health Foundation","keywords":"Curcumin; Chemistry; Amyloid (mycology); BETA (programming language); Biochemistry; Amyloid beta; Computational biology; Biophysics; Computer science; Biology; Peptide","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":[0.0003293589,0.0009764908,0.001491448,0.0007791195,0.0009794668,0.0009033422,0.001685404,0.001845702,0.004090783],"category_scores_gemma":[0.001220445,0.000588094,0.001506648,0.001043877,0.0005394799,0.0005938525,0.0006591803,0.001043139,0.0003394006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009968783,"about_ca_system_score_gemma":0.001495898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03144402,"about_ca_topic_score_gemma":0.02129837,"domain_scores_codex":[0.9998775,0.0000294206,0.000005630027,0.00002030192,0.00002660932,0.00004057383],"domain_scores_gemma":[0.9991498,0.0005309671,0.00005562643,0.00004267549,0.0001486721,0.00007224289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002290321,0.0002556666,0.002542077,0.0001851563,0.0001514241,0.0003305326,0.00003996888,0.9912586,0.001159348,0.001059437,0.001079941,0.001708811],"study_design_scores_gemma":[0.00009351139,0.0001055029,0.0006642984,0.0000126997,0.00004608592,0.00002683122,0.00005248936,0.997777,0.0003637674,0.0004267003,0.0004219502,0.000009053633],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9802967,0.0006362796,0.003464683,0.0006238912,0.00006566603,0.00006343289,0.001780765,0.0001759278,0.01289261],"genre_scores_gemma":[0.9886621,0.0005734777,0.006055543,0.0002833195,0.00003866652,0.0001532884,0.002068705,0.00007577125,0.002089117],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03144402,"threshold_uncertainty_score":0.06252199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03603107137961462,"score_gpt":0.3089173939142231,"score_spread":0.2728863225346085,"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."}}