{"id":"W1992229196","doi":"10.1006/bbrc.2001.5508","title":"Characterization of Interactions between Nedd4 and β and γENaC Using Surface Plasmon Resonance","year":2001,"lang":"en","type":"article","venue":"Biochemical and Biophysical Research Communications","topic":"Ion Transport and Channel Regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"CYTED Ciencia y Tecnología para el Desarrollo; Hospital for Sick Children; Israel Science Foundation","keywords":"NEDD4; Epithelial sodium channel; Surface plasmon resonance; Chemistry; Ubiquitin ligase; Ubiquitin; Biophysics; Dissociation constant; Kinetics; Dissociation (chemistry); Receptor–ligand kinetics; Biochemistry; Biology; Nanotechnology; Gene; Sodium; Receptor; Physical chemistry; Materials science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001560564,0.00007618114,0.0001059749,0.00003732307,0.0001886311,0.00001964045,0.0001292847,0.00008484919,0.000002419427],"category_scores_gemma":[0.00005471258,0.00007043889,0.00002263716,0.0001715485,0.0005470556,0.00001232665,0.0001805316,0.0001402459,4.934173e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008470585,"about_ca_system_score_gemma":0.00002622496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005425508,"about_ca_topic_score_gemma":0.000008266665,"domain_scores_codex":[0.9993155,0.00007475151,0.00015188,0.0001942361,0.0001237927,0.0001398399],"domain_scores_gemma":[0.999347,0.00006525422,0.00004034716,0.0003039504,0.0001368381,0.0001065759],"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":[0.00004425145,0.0000539344,0.004402604,0.00001754099,0.000009800364,1.571629e-7,0.00004217253,2.273483e-7,0.9931842,0.0003039247,0.00001546617,0.001925732],"study_design_scores_gemma":[0.0003470926,0.0001456199,0.07317338,0.00006514244,0.00002160591,0.00001024438,0.0001020478,0.00177431,0.9120827,0.0003778377,0.01173986,0.0001602044],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979299,0.0005810782,0.0002972256,0.000952813,0.000007682885,0.0001199032,0.00004008667,0.000005512413,0.00006581928],"genre_scores_gemma":[0.9959958,0.002970946,0.0005289034,0.00001352437,0.00006659685,0.00000582646,0.000297601,0.000007657801,0.0001131645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08110153,"threshold_uncertainty_score":0.2872415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0805621435004897,"score_gpt":0.3620276418905021,"score_spread":0.2814654983900124,"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."}}