{"id":"W2137129298","doi":"10.4161/cc.23178","title":"Intrinsically disordered proteins and conformational noise","year":2012,"lang":"en","type":"article","venue":"Cell Cycle","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Department of Science and Technology, Ministry of Science and Technology, India; Jawaharlal Nehru Centre for Advanced Scientific Research; National Science Foundation","keywords":"Intrinsically disordered proteins; Biology; Chromatin; Conformational change; Computational biology; Protein structure; Epigenetics; Genetics; Cell biology; Biophysics; Gene; Biochemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.00008737684,0.00007087761,0.00005685848,0.00001144409,0.00005620293,0.00001806505,0.00005778352,0.00007371355,0.0000267229],"category_scores_gemma":[0.000007340022,0.00006384132,0.00002363383,0.00002072673,0.00004099428,0.00000691731,0.00008137792,0.00004925945,0.00003408529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003336333,"about_ca_system_score_gemma":0.0000164322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002983551,"about_ca_topic_score_gemma":0.000002187395,"domain_scores_codex":[0.9995865,0.000007932519,0.0001169132,0.00006533521,0.00004874316,0.0001745389],"domain_scores_gemma":[0.9997239,0.000003749822,0.00004112948,0.0001204063,0.00001898873,0.00009188575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004239831,0.00108095,0.03389289,0.0005019885,0.0002093354,0.000001755351,0.003828484,0.0006123343,0.6957018,0.01749166,0.04416244,0.2020924],"study_design_scores_gemma":[0.004158393,0.0005652867,0.06411958,0.00002765417,0.00005533577,0.00005844457,0.0006841508,0.006295649,0.1627512,0.002547786,0.757455,0.001281537],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9729897,0.0007935315,0.005500851,0.0001036218,0.00009898515,0.0001856034,0.00001075226,0.000008442429,0.02030847],"genre_scores_gemma":[0.9973479,0.00006845452,0.001620343,0.0002681451,0.0001980436,0.00001166337,0.00007649031,0.000006997903,0.0004019481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7132926,"threshold_uncertainty_score":0.2603374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003963654197530341,"score_gpt":0.1936319049421191,"score_spread":0.1896682507445888,"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."}}