{"id":"W2048054661","doi":"10.1139/o09-169","title":"Molecular simulations of protein disorderThis paper is one of a selection of papers published in this special issue entitled “Canadian Society of Biochemistry, Molecular & Cellular Biology 52nd Annual Meeting — Protein Folding: Principles and Diseases” and has undergone the Journal's usual peer review process.","year":2010,"lang":"en","type":"review","venue":"Biochemistry and Cell Biology","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Intrinsically disordered proteins; Context (archaeology); Computational biology; Protein folding; Computer science; Folding (DSP implementation); Nanotechnology; Data science; Biology; Biophysics; Materials science; Biochemistry; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.0005105243,0.001042097,0.001725001,0.0009820225,0.0003453375,0.0006360569,0.001656739,0.001143854,0.001289438],"category_scores_gemma":[0.0009941582,0.0004677505,0.0004950126,0.001912636,0.0005371309,0.001202999,0.0006417628,0.0008993732,0.00174912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008722292,"about_ca_system_score_gemma":0.0008907939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001686162,"about_ca_topic_score_gemma":0.00201166,"domain_scores_codex":[0.9997839,0.00004431329,0.0000200596,0.000046881,0.00009219833,0.0000125879],"domain_scores_gemma":[0.9996634,0.0001690419,0.00002532365,0.00002854735,0.00009561221,0.000018058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009176919,0.0001182792,0.0008825951,0.0107286,0.0003009168,0.0002116322,0.0001609629,0.06778122,0.01248765,0.0712409,0.02671085,0.8092845],"study_design_scores_gemma":[0.00005412896,0.0001713289,0.001064104,0.00192163,0.0001694993,0.001020857,0.00008846111,0.06366288,0.0163699,0.04460095,0.8707471,0.0001291744],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0037108,0.9565393,0.02680351,0.0008186676,0.0004898828,0.00003260932,0.0002087899,0.0002832643,0.01111306],"genre_scores_gemma":[0.01827708,0.961733,0.01507109,0.0002392953,0.0002512085,0.00006444957,0.0004998818,0.00007442646,0.003789541],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.001725001,"threshold_uncertainty_score":0.006328464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01164100772289336,"score_gpt":0.2606939570992284,"score_spread":0.2490529493763351,"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."}}