{"id":"W1963954908","doi":"10.1021/ja103869x","title":"Mechanism for Recognition of Polyubiquitin Chains: Balancing Affinity through Interplay between Multivalent Binding and Dynamics","year":2010,"lang":"en","type":"article","venue":"Journal of the American Chemical Society","topic":"Ubiquitin and proteasome pathways","field":"Biochemistry, Genetics and Molecular Biology","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; University of Alberta","funders":"Canadian Institutes of Health Research; Alberta Heritage Foundation for Medical Research","keywords":"Chemistry; Ubiquitin; Biophysics; Molecular dynamics; DNA; Tandem; Plasma protein binding; Mechanism (biology); DNA damage; Kinetics; Molecular recognition; Protein–protein interaction; Computational biology; Biochemistry; Cell biology; Nanotechnology; Computational chemistry; Molecule","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":[0.0002763246,0.0004044057,0.0004771684,0.0002256858,0.0005102285,0.0007729742,0.0009986431,0.0005628432,0.002010711],"category_scores_gemma":[0.0003234587,0.0003328888,0.0001984067,0.0001339789,0.0005884226,0.001284521,0.0007786152,0.0006007462,0.0005757377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007727421,"about_ca_system_score_gemma":0.0003288829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003550466,"about_ca_topic_score_gemma":0.0004132789,"domain_scores_codex":[0.9998599,0.00001168272,0.000006786186,0.00004367606,0.00004022038,0.00003768988],"domain_scores_gemma":[0.9998529,0.00003239496,0.00002901712,0.00001798795,0.00002319504,0.00004454949],"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":[0.0001310267,0.0001265589,0.0008754454,0.0001774479,0.00003005516,0.0003729786,0.0001416541,0.006539675,0.9603466,0.01735874,0.0005912713,0.01330851],"study_design_scores_gemma":[0.0001169157,0.0002947328,0.00203704,0.00001784428,0.00003280551,0.0007861939,0.000133987,0.2077304,0.7756528,0.007105618,0.006023097,0.00006845019],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9375316,0.001576811,0.0543,0.000740619,0.0001068618,0.00009784728,0.00005350458,0.0004168616,0.005175818],"genre_scores_gemma":[0.9921733,0.0003986566,0.005196427,0.00009054246,0.00001366729,0.00006038772,0.00002613869,0.00002296094,0.002017762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002010711,"threshold_uncertainty_score":0.006726444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01627825657212711,"score_gpt":0.285421307055678,"score_spread":0.2691430504835509,"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."}}