{"id":"W2999847664","doi":"10.1016/bs.apcsb.2019.10.001","title":"Combining molecular dynamics simulations and experimental analyses in protein misfolding","year":2019,"lang":"en","type":"review","venue":"Advances in protein chemistry and structural biology","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University of Alberta; Women and Children’s Health Research Institute","funders":"","keywords":"Molecular dynamics; Protein folding; Computational biology; Mechanism (biology); Function (biology); Amyloid fibril; Protein aggregation; Amyloid (mycology); Chemistry; Biology; Biophysics; Amyloid β; Disease; Biochemistry; Cell biology; Physics; Medicine; Computational chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00004832254,0.0003612122,0.001085773,0.00008204761,0.00005516059,0.00001757693,0.00009090295,0.0002876095,0.00003541349],"category_scores_gemma":[0.00007335194,0.000275582,0.00009990307,0.0001919749,0.0002255342,0.0001035574,0.0001161444,0.0004031326,8.455171e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001964708,"about_ca_system_score_gemma":0.0001606823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002389268,"about_ca_topic_score_gemma":0.000004983698,"domain_scores_codex":[0.9984929,0.00009349426,0.0004131923,0.0005585211,0.00009919003,0.0003427265],"domain_scores_gemma":[0.9993985,0.00007789939,0.0001593783,0.0002115409,0.00002251743,0.0001301113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000698896,0.0002761114,0.007307311,0.05061666,0.00404686,0.0009947896,0.0001483345,0.0000530073,0.02833917,0.0007661324,2.66861e-7,0.9067525],"study_design_scores_gemma":[0.0826751,0.01107791,0.001271846,0.3262432,0.0150585,0.005638642,0.004572523,0.02992302,0.3643983,0.05296759,0.08672127,0.01945209],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2116189,0.7869518,0.00000218351,0.000008953162,0.00001331278,0.001186964,0.00007411467,0.00001075333,0.0001330428],"genre_scores_gemma":[0.600129,0.3986751,0.0003719732,0.000003805195,0.00001916169,0.0001755404,0.0005897784,0.00001777683,0.00001791195],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.8873004,"threshold_uncertainty_score":0.9999697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04536436840384968,"score_gpt":0.437943846286367,"score_spread":0.3925794778825173,"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."}}