{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000348825,0.0003517066,0.0002432753,0.0002108808,0.00029397,0.0004379748,0.0003759169,0.0003072295,0.0007405751],"category_scores_gemma":[0.0003971699,0.0002470338,0.000304764,0.0001446113,0.0002053747,0.0003104619,0.0002149312,0.0006738924,0.0002649283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005238024,"about_ca_system_score_gemma":0.0001807888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001665819,"about_ca_topic_score_gemma":0.001325898,"domain_scores_codex":[0.9997658,0.00003746569,0.00001846409,0.0000559447,0.00006765417,0.00005456552],"domain_scores_gemma":[0.9998208,0.00004246527,0.00003110243,0.00001954622,0.00004742546,0.00003864671],"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":[0.00004696096,0.00001311213,0.0001708486,0.000009908521,0.000008313429,0.00002047667,0.00001443923,0.00005449224,0.9991757,0.00006712806,0.00001884094,0.0003997419],"study_design_scores_gemma":[0.000005912469,0.0000360068,0.001755571,0.00000160971,0.000007626272,0.00008398413,0.00002231015,0.001551985,0.9952766,0.00002522688,0.001228737,0.000004453492],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921479,0.0005117448,0.006118548,0.00006937942,0.00001409592,0.00001730829,0.0001253613,0.00002453607,0.00097122],"genre_scores_gemma":[0.9897085,0.0003346809,0.006697676,0.0001241579,0.000004697976,0.00002859508,0.0007178602,0.00002561384,0.002358142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001665819,"threshold_uncertainty_score":0.003800511,"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."}}