{"id":"W4399699980","doi":"10.1016/j.omtn.2024.102251","title":"Selection of DNA aptamers that prevent the fibrillization of α-synuclein protein in cellular and mouse models","year":2024,"lang":"en","type":"article","venue":"Molecular Therapy — Nucleic Acids","topic":"Parkinson's Disease Mechanisms and Treatments","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Carleton University; Canadian Institutes of Health Research; University of Ottawa; University of Calgary; Michael J. Fox Foundation for Parkinson's Research","keywords":"Aptamer; Selection (genetic algorithm); DNA; Computational biology; Biology; Cell biology; Genetics; Computer science; Artificial intelligence","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":[0.0002479035,0.0003590856,0.0002522553,0.0003805977,0.000166987,0.0003558156,0.0002433064,0.0005395025,0.004244978],"category_scores_gemma":[0.0002233137,0.0002719461,0.0001922693,0.0002039512,0.0001918829,0.0001973383,0.0001740242,0.0005067946,0.001167372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001879153,"about_ca_system_score_gemma":0.0001457177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001890963,"about_ca_topic_score_gemma":0.0004542018,"domain_scores_codex":[0.9998218,0.00002347366,0.00001895224,0.00004718519,0.0000636452,0.00002491085],"domain_scores_gemma":[0.9998428,0.00003474436,0.0000457808,0.00001671277,0.00002460093,0.00003544789],"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":[0.0001030424,0.00003563426,0.00007594287,0.00002233225,0.000004874406,0.00002773027,0.000009793433,0.0001081695,0.9952998,0.000168032,0.0003490412,0.003795709],"study_design_scores_gemma":[0.00004950808,0.0004335277,0.0005295441,0.000007364461,0.00002397817,0.0001876254,0.00001230467,0.001160071,0.9870886,0.00009101692,0.01040853,0.000007861245],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9196408,0.006154452,0.04977896,0.001110433,0.001781148,0.0003429114,0.001597572,0.001542106,0.01805161],"genre_scores_gemma":[0.9164619,0.00306798,0.03183751,0.0005733122,0.0001221318,0.0002425365,0.001281597,0.0003417366,0.04607119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004244978,"threshold_uncertainty_score":0.01420087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0152043002518155,"score_gpt":0.2391355305261098,"score_spread":0.2239312302742942,"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."}}