{"id":"W2081076958","doi":"10.1016/j.tibs.2010.12.001","title":"Evolving specificity from variability for protein interaction domains","year":2011,"lang":"en","type":"article","venue":"Trends in Biochemical Sciences","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":44,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Western University","funders":"Canadian Institutes of Health Research; Canada Research Chairs; Ontario Genomics Institute; Genome Canada","keywords":"PDZ domain; Homology (biology); Computational biology; Binding site; SH3 domain; ENCODE; Scaffold protein; Biology; Protein–protein interaction; Phosphotyrosine-binding domain; Ligand (biochemistry); Plasma protein binding; SH2 domain; Phosphorylation; Genetics; Proto-oncogene tyrosine-protein kinase Src; Amino acid; Biochemistry; Signal transduction; Gene; Receptor","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":[0.001255969,0.0003719646,0.0008016565,0.0006492452,0.0004218101,0.001622585,0.0009890189,0.0009898386,0.002639414],"category_scores_gemma":[0.004638805,0.000468901,0.0004650761,0.0003332051,0.0007407767,0.001740038,0.001531148,0.001930446,0.0009803921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000602674,"about_ca_system_score_gemma":0.0002499281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003091779,"about_ca_topic_score_gemma":0.0006473366,"domain_scores_codex":[0.9992701,0.000124103,0.0000430359,0.0002478539,0.0001893554,0.0001254439],"domain_scores_gemma":[0.9974757,0.001151188,0.0003193505,0.0004720878,0.0003184117,0.0002632498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003836789,0.00008739822,0.03375768,0.0001465115,0.0001560951,0.0004361173,0.0002881286,0.006563706,0.8974669,0.0138642,0.0008491151,0.0460005],"study_design_scores_gemma":[0.0001530625,0.0005955174,0.1912809,0.000101625,0.000482112,0.006790144,0.0009706644,0.1956291,0.5027567,0.086723,0.01421195,0.0003051667],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9831663,0.000620402,0.01250111,0.0003072015,0.00002743614,0.000007643755,0.00009491579,0.0002216905,0.003053371],"genre_scores_gemma":[0.9975932,0.0001486707,0.001401681,0.0001203533,0.00001480967,0.000005482085,0.0001256997,0.0001087986,0.0004811341],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002639414,"threshold_uncertainty_score":0.008829713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03009346779525637,"score_gpt":0.2942812646604154,"score_spread":0.264187796865159,"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."}}