{"id":"W1995411796","doi":"10.1073/pnas.1216229110","title":"Structural basis for endosomal trafficking of diverse transmembrane cargos by PX-FERM proteins","year":2013,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Cellular transport and secretion","field":"Biochemistry, Genetics and Molecular Biology","cited_by":140,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"National Health and Medical Research Council; Medical Research Council; University of Queensland; Australian Synchrotron; Australian Research Council; Australian Cancer Research Foundation","keywords":"FERM domain; Sorting nexin; Endosome; Radixin; Moesin; Cell biology; Ezrin; Transmembrane protein; Biology; Membrane protein; Transport protein; Endocytosis; Protein targeting; Integral membrane protein; Biochemistry; Receptor; Cytoskeleton; Cell; Intracellular","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001357327,0.0002570542,0.0001868763,0.0001355708,0.0004265597,0.000310277,0.0003858853,0.0003509505,0.001135024],"category_scores_gemma":[0.0002278318,0.0001525864,0.000231692,0.0001133366,0.0004244526,0.0003275087,0.0003117542,0.00041288,0.000389423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003622159,"about_ca_system_score_gemma":0.0003628911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004275375,"about_ca_topic_score_gemma":0.0002977622,"domain_scores_codex":[0.9999367,0.00001041839,0.000005419,0.00001113222,0.00002389979,0.00001259703],"domain_scores_gemma":[0.9999392,0.00001157491,0.00001737448,0.000006478075,0.000006307423,0.00001905133],"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":[0.0005550979,0.0001563171,0.003152051,0.0001651148,0.00003202825,0.001623884,0.0001008235,0.00549978,0.9690911,0.01426113,0.000346615,0.005016174],"study_design_scores_gemma":[0.0005378483,0.00152676,0.040199,0.00006894186,0.0001230369,0.007329129,0.0004827626,0.0819907,0.8399348,0.01512468,0.01261046,0.00007189214],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951389,0.0003451299,0.002826061,0.0002424326,0.0000166299,0.00001520319,0.00005873329,0.00006443064,0.001292451],"genre_scores_gemma":[0.9973335,0.0002087459,0.001847158,0.00004946452,0.00001032412,0.000009815692,0.0001481055,0.000006112408,0.0003867422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001135024,"threshold_uncertainty_score":0.003797054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02227501993975789,"score_gpt":0.2547502160294282,"score_spread":0.2324751960896703,"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."}}