{"id":"W1972573335","doi":"10.1529/biophysj.104.050369","title":"Comparing Folding Codes in Simple Heteropolymer Models of Protein Evolutionary Landscape: Robustness of the Superfunnel Paradigm","year":2004,"lang":"en","type":"article","venue":"Biophysical Journal","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Biotechnology and Biological Sciences Research Council; Canadian Institutes of Health Research","keywords":"Energy landscape; Robustness (evolution); Protein folding; Biological system; Statistical physics; Neutral network; Simple (philosophy); Fitness landscape; Funnel; Computer science; Folding (DSP implementation); Sequence space; Computational biology; Evolutionary biology; Biology; Physics; Mathematics; Artificial intelligence; Chemistry; Genetics; Pure mathematics; Engineering; Population","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":[0.002600924,0.000335043,0.00087298,0.001301521,0.0006546982,0.001667348,0.001026925,0.00160482,0.001243917],"category_scores_gemma":[0.0121418,0.0003182543,0.0007042878,0.0006900284,0.001282078,0.00341943,0.0008326259,0.0007626852,0.0001341615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000899824,"about_ca_system_score_gemma":0.0006110526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001389038,"about_ca_topic_score_gemma":0.001172714,"domain_scores_codex":[0.9993838,0.0003201021,0.00003474511,0.0000969683,0.00008734745,0.00007696148],"domain_scores_gemma":[0.9920645,0.005446572,0.0006405613,0.001017584,0.0004093126,0.0004215166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005412553,0.0001406291,0.00902137,0.0001229118,0.0001893054,0.0002090225,0.0002795131,0.7883692,0.0074784,0.1812291,0.0009512281,0.01146804],"study_design_scores_gemma":[0.00001809603,0.00003408485,0.001088764,0.000005341396,0.00001027969,0.00003304515,0.00004254268,0.9215822,0.0004733364,0.07659305,0.0001028606,0.00001638284],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9691709,0.0001691265,0.02879057,0.0002523313,0.00002033952,0.0000105903,0.00006933852,0.00009901113,0.001417805],"genre_scores_gemma":[0.9949461,0.00009288608,0.004558962,0.00004405254,0.00001428497,0.00001588581,0.00008449167,0.00005335922,0.0001901788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002600924,"threshold_uncertainty_score":0.01375514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01315066041873309,"score_gpt":0.2328819569147216,"score_spread":0.2197312964959885,"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."}}