{"id":"W876171110","doi":"10.1016/j.biochi.2015.07.011","title":"α-synuclein dimer structures found from computational simulations","year":2015,"lang":"en","type":"article","venue":"Biochimie","topic":"Parkinson's Disease Mechanisms and Treatments","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Institute for Nanotechnology; University of Alberta","funders":"Alberta Innovates - Health Solutions; Western Canada Research Grid","keywords":"Dimer; Molecular dynamics; Chemistry; Affinities; Docking (animal); Monomer; Computational chemistry; Radius of gyration; Chemical physics; Crystallography; Stereochemistry; Polymer","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002185743,0.0001064832,0.0001328088,0.00005128992,0.00005917528,0.00002106618,0.00004018867,0.00004995264,0.0004271131],"category_scores_gemma":[0.00003665089,0.00008727115,0.00005449932,0.00007016176,0.00002739494,0.00004373203,0.00002327339,0.00004629818,0.0002184243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005739118,"about_ca_system_score_gemma":0.0001105479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001090766,"about_ca_topic_score_gemma":0.00001091655,"domain_scores_codex":[0.9993138,0.00001806938,0.0001120259,0.0001922727,0.0002455569,0.0001183081],"domain_scores_gemma":[0.9994671,0.00003558438,0.00003731559,0.0001529592,0.00007137981,0.0002356448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00490848,0.008057356,0.5751681,0.0001550407,0.008267143,0.001522612,0.004294265,0.03790047,0.03036948,0.08253991,0.1943968,0.05242038],"study_design_scores_gemma":[0.007617856,0.0002862443,0.8086697,0.00003895324,0.0005395349,0.00001881134,0.00009878217,0.0235578,0.002589312,0.1165061,0.03975068,0.000326136],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961221,0.0003829722,0.001146701,0.000322908,0.0002301044,0.0001711512,0.0001935234,0.00009568799,0.001334843],"genre_scores_gemma":[0.9892263,0.000001279617,0.009549561,0.0004605559,0.0001794257,0.000004747518,0.0003822734,0.00002107356,0.0001747658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2335017,"threshold_uncertainty_score":0.467659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05260357092580736,"score_gpt":0.3083569906576543,"score_spread":0.255753419731847,"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."}}