{"id":"W4392737763","doi":"10.1016/j.compbiomed.2024.108195","title":"Insights into dietary phytochemicals targeting Parkinson's disease key genes and pathways: A network pharmacology approach","year":2024,"lang":"en","type":"article","venue":"Computers in Biology and Medicine","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Baicalein; DrugBank; Gene regulatory network; Signal transduction; Biology; Systems pharmacology; Dopaminergic; Pharmacology; Transcription factor; Computational biology; Gene; Gene expression; Neuroscience; Cell biology; Biochemistry; Dopamine; Drug","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":[0.0002561043,0.0006368622,0.0005416733,0.0007409469,0.0002440561,0.0007535137,0.0005093818,0.000380757,0.002737252],"category_scores_gemma":[0.0004637402,0.0002433187,0.0007052571,0.0006099531,0.0003581693,0.001059006,0.0003906676,0.0009956292,0.0003652296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006628218,"about_ca_system_score_gemma":0.0006756113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00140855,"about_ca_topic_score_gemma":0.001973295,"domain_scores_codex":[0.9999305,0.0000232602,0.000003129558,0.00001991346,0.00001492644,0.000008356781],"domain_scores_gemma":[0.9998471,0.00008685047,0.00002436282,0.00001227107,0.0000180011,0.00001146233],"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":[0.0008762117,0.0008221962,0.005884105,0.00215544,0.0007484704,0.0006227199,0.0001522245,0.2948558,0.25191,0.1938614,0.003242127,0.2448692],"study_design_scores_gemma":[0.0001803717,0.000806242,0.00589226,0.0001990913,0.0007037338,0.0004228368,0.0002185958,0.5925575,0.0539954,0.318497,0.02646447,0.00006239988],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1894245,0.02242719,0.7389108,0.008476267,0.0002219718,0.0002213448,0.002092829,0.0007731892,0.03745196],"genre_scores_gemma":[0.8627198,0.03086448,0.09882805,0.001056513,0.0001391732,0.0001860482,0.000709161,0.00006263545,0.005434202],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002737252,"threshold_uncertainty_score":0.009157002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02833108095163253,"score_gpt":0.3288199510821954,"score_spread":0.3004888701305629,"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."}}