{"id":"W4220849119","doi":"10.1101/2022.03.04.483015","title":"Confinement of unliganded EGFR by tetraspanin nanodomains gates EGFR ligand binding and signaling","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; Toronto Metropolitan University","funders":"Medical Research Council; Canadian Institutes of Health Research; National Health and Medical Research Council; Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Research, Innovation and Science","keywords":"Tetraspanin; Ectodomain; Ligand (biochemistry); Cell biology; Epidermal growth factor receptor; Chemistry; Biophysics; ERBB3; Receptor; Biology; Cell; Biochemistry","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":[0.00009435233,0.0001191594,0.0001813275,0.0001003189,0.0001542732,0.0003043651,0.0001867607,0.0002406452,0.0006107378],"category_scores_gemma":[0.000102656,0.0001133703,0.0001329823,0.00008911797,0.0002092557,0.000213614,0.0002156603,0.0003231628,0.0002149855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004633426,"about_ca_system_score_gemma":0.0001583882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006037255,"about_ca_topic_score_gemma":0.0007087951,"domain_scores_codex":[0.9999254,0.000008315274,0.00000486831,0.00002060179,0.00002114036,0.00001977588],"domain_scores_gemma":[0.9999495,0.00001149876,0.00001314543,0.000006955866,0.00000718867,0.00001180211],"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":[0.00002537199,0.000005978058,0.0001041291,0.000009633326,0.000001518166,0.00001629735,0.000007789411,0.0001628878,0.998751,0.0002769301,0.00003816899,0.0006001974],"study_design_scores_gemma":[0.000006258316,0.00002784195,0.001125308,0.000003109267,0.00000362397,0.00004606671,0.00001578035,0.006990304,0.9903144,0.0001577748,0.001306284,0.000003132978],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906221,0.0005344524,0.007562065,0.00009020119,0.00002412504,0.000007626744,0.00008152566,0.00006750206,0.001010355],"genre_scores_gemma":[0.9952035,0.0002950555,0.003223301,0.00005249677,0.000005399128,0.00001079287,0.00008795111,0.00001844551,0.001102917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006107378,"threshold_uncertainty_score":0.003361762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01814955124246389,"score_gpt":0.2580052535850691,"score_spread":0.2398557023426052,"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."}}