{"id":"W2074719974","doi":"10.1016/j.jmb.2010.09.028","title":"A Simple Definition of Structural Regions in Proteins and Its Use in Analyzing Interface Evolution","year":2010,"lang":"en","type":"article","venue":"Journal of Molecular Biology","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":269,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"Université de Montréal; Medical Research Council; European Molecular Biology Laboratory; Human Frontier Science Program","keywords":"Interface (matter); Surface (topology); Amino acid; Simple (philosophy); Core (optical fiber); Biological system; Partition (number theory); Saccharomyces cerevisiae; Crystallography; Protein structure; Computational biology; Computer science; Chemistry; Biology; Geometry; Mathematics; Combinatorics; Genetics; Biochemistry; Yeast","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":[0.0001986886,0.00009476649,0.0001875856,0.0001803008,0.00001452421,0.000007097743,0.0001074366,0.00021106,0.000002099848],"category_scores_gemma":[0.0003787637,0.00008291091,0.0000578619,0.0001125422,0.0000670236,0.00001130649,0.00006401021,0.0002631073,9.524312e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001417046,"about_ca_system_score_gemma":0.00006542085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006034111,"about_ca_topic_score_gemma":0.0006682769,"domain_scores_codex":[0.9992315,0.0000976208,0.0003469036,0.000136186,0.00004825959,0.0001394978],"domain_scores_gemma":[0.9994592,0.0000128155,0.0002510104,0.0001174005,0.0001196822,0.00003988047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000116034,0.00001337691,0.03525077,0.000009731904,0.00001729865,0.00001034352,0.0000188133,0.000102202,0.9595239,0.004720493,0.000001766812,0.000215284],"study_design_scores_gemma":[0.002479599,0.001367609,0.1558958,0.00008212881,0.00003948673,0.000660042,0.00007075422,0.0008006801,0.7794999,0.05855371,0.000217105,0.0003332009],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871437,0.0008189739,0.01176531,0.00005852588,0.00006880052,0.0001183902,0.000009105631,0.000001073045,0.0000161574],"genre_scores_gemma":[0.9952629,0.00004820242,0.004603151,0.00002649246,0.0000341905,0.000002401492,0.00001383431,0.00000740778,0.000001472217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.180024,"threshold_uncertainty_score":0.3381009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01015082731029539,"score_gpt":0.2716759917269622,"score_spread":0.2615251644166668,"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."}}