{"id":"W2128052459","doi":"10.1016/s0022-2836(03)00360-7","title":"Transforming Growth Factor-beta (TGF-β) Binding to the Extracellular Domain of the Type II TGF-β Receptor: Receptor Capture on a Biosensor Surface Using a New Coiled-coil Capture System Demonstrates that Avidity Contributes Significantly to High Affinity Binding","year":2003,"lang":"en","type":"article","venue":"Journal of Molecular Biology","topic":"TGF-β signaling in diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":86,"is_retracted":false,"has_abstract":false,"ca_institutions":"Biotechnology Research Institute","funders":"","keywords":"Avidity; Receptor; Chemistry; Biophysics; Ligand (biochemistry); Biosensor; Surface plasmon resonance; Extracellular; Receptor–ligand kinetics; Transforming growth factor beta; Cell surface receptor; Dissociation constant; Gene isoform; Biochemistry; Biology; Materials science; Antibody; Nanotechnology","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001057792,0.0005026102,0.0007151701,0.0001806353,0.0004229737,0.0000616311,0.0008552941,0.0005568919,0.00002830885],"category_scores_gemma":[0.0007409609,0.0003268356,0.000426222,0.0005649071,0.0001826979,0.00001461995,0.0001282913,0.0005485444,0.000008518395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001836279,"about_ca_system_score_gemma":0.0006958788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008530576,"about_ca_topic_score_gemma":0.00003215741,"domain_scores_codex":[0.9965043,0.001062192,0.0008674953,0.0005372621,0.0003931879,0.0006355276],"domain_scores_gemma":[0.9976522,0.0001856291,0.0008108806,0.000566928,0.0004521287,0.0003322023],"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":[0.0004912651,0.000110084,0.002691086,0.00005491553,0.0003811861,0.00001723842,0.0003423473,0.001641232,0.9928677,0.0007107735,0.0006295057,0.00006265791],"study_design_scores_gemma":[0.0008872453,0.0006394336,0.0001394875,0.0003721937,0.0001678905,0.00009160339,0.001254884,0.000004098333,0.9906668,0.00003574071,0.005369102,0.000371506],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863883,0.00304124,0.007510691,0.0008764844,0.001155332,0.0007117749,0.0002597216,0.00001624002,0.00004026574],"genre_scores_gemma":[0.9954427,0.00004578319,0.003938779,0.0002347282,0.0001687168,0.000004762064,0.00003358548,0.00006269685,0.00006827396],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009054423,"threshold_uncertainty_score":0.9999183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01837214936641642,"score_gpt":0.25054378624682,"score_spread":0.2321716368804036,"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."}}