{"id":"W2787519262","doi":"10.1038/nature25478","title":"MEK drives BRAF activation through allosteric control of KSR proteins","year":2018,"lang":"en","type":"article","venue":"Nature","topic":"Melanoma and MAPK Pathways","field":"Biochemistry, Genetics and Molecular Biology","cited_by":156,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Sinai Health System; Lunenfeld-Tanenbaum Research Institute; Université de Montréal; Institute for Research in Immunology and Cancer","funders":"National Center for Research Resources; National Institute of General Medical Sciences; Canadian Institutes of Health Research","keywords":"Kinase; Allosteric regulation; Cell biology; Protein kinase domain; Chemistry; Protein kinase A; MAPK/ERK pathway; Scaffold protein; c-Raf; Mitogen-activated protein kinase kinase; Biochemistry; Biology; Enzyme; Signal transduction; Mutant; Gene","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":[0.0002103944,0.000258352,0.0001164289,0.0001587633,0.0002239551,0.0005738231,0.0004472308,0.0002315639,0.003823069],"category_scores_gemma":[0.0002579191,0.0002120384,0.0002116374,0.00007568503,0.0003886863,0.0003296687,0.000447212,0.0006397713,0.0009062375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005425393,"about_ca_system_score_gemma":0.0001989392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005454866,"about_ca_topic_score_gemma":0.001277975,"domain_scores_codex":[0.9998261,0.00002179039,0.00001226116,0.00004433419,0.00004817256,0.00004737884],"domain_scores_gemma":[0.9998858,0.00002600266,0.0000267806,0.00002103455,0.00001296915,0.00002729802],"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":[0.00009365731,0.00002734015,0.000196146,0.00002196609,0.000002423247,0.00004843929,0.0000149762,0.0001190077,0.9962273,0.001859999,0.00008886599,0.001299959],"study_design_scores_gemma":[0.00001345974,0.00004361473,0.001051955,0.000003012687,0.000003963351,0.0001238288,0.00002040876,0.003176773,0.9933653,0.0004193194,0.00177241,0.000005889825],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890811,0.0003462235,0.00423376,0.0003387175,0.00005884775,0.00001466817,0.0001206034,0.0002410692,0.00556496],"genre_scores_gemma":[0.9971494,0.0001124506,0.0009897522,0.00003257623,0.000006212724,0.000004908379,0.00004563645,0.00002932209,0.001629819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003823069,"threshold_uncertainty_score":0.01278943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006254970096759588,"score_gpt":0.2442489508181233,"score_spread":0.2379939807213637,"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."}}