{"id":"W2548573003","doi":"10.1038/nchembio.2231","title":"Inhibition of RAS function through targeting an allosteric regulatory site","year":2016,"lang":"en","type":"article","venue":"Nature Chemical Biology","topic":"Protein Kinase Regulation and GTPase Signaling","field":"Biochemistry, Genetics and Molecular Biology","cited_by":299,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; Institute for Research in Immunology and Cancer; Lunenfeld-Tanenbaum Research Institute; Université de Montréal","funders":"National Institute of General Medical Sciences; National Cancer Institute; U.S. Department of Veterans Affairs","keywords":"Allosteric regulation; Anti-apoptotic Ras signalling cascade; Effector; GTPase; Small GTPase; Cell biology; Signal transduction; Function (biology); Biology; Carcinogenesis; GTP'; Kinase; Guanine nucleotide exchange factor; Cancer research; MAPK/ERK pathway; Biochemistry; Receptor; Enzyme; Gene","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":[],"consensus_categories":[],"category_scores_codex":[0.0001518825,0.0001293854,0.0001457831,0.00002755616,0.00003061596,0.000003302884,0.0000750999,0.000709795,0.00006175051],"category_scores_gemma":[0.0001491008,0.00009176171,0.00008035052,0.00007379895,0.0001416099,0.000009347222,0.00006873258,0.0001269277,0.000006414105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000158742,"about_ca_system_score_gemma":0.00002623754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002110169,"about_ca_topic_score_gemma":0.000001006411,"domain_scores_codex":[0.9990926,0.0000742941,0.00022544,0.0003536557,0.00007249732,0.0001815003],"domain_scores_gemma":[0.9994594,0.00001610149,0.0001296113,0.0002260782,0.0001156397,0.00005311935],"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":[0.0001888795,0.00003197932,0.0006478885,0.00001251376,0.00001646449,5.190489e-7,0.00001029926,7.661403e-7,0.994235,0.0008226399,0.0003460328,0.003687036],"study_design_scores_gemma":[0.0005235304,0.0001730198,0.0003386949,0.00002392186,0.00001078054,0.000005303505,0.000006560017,0.000004165087,0.9818361,0.001702403,0.01523994,0.0001356051],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931676,0.001519818,0.004599978,0.0001796496,0.0001338033,0.0001053248,0.00002644422,0.00002319122,0.0002442067],"genre_scores_gemma":[0.9971752,0.00004490585,0.001304169,0.0004748537,0.0004155562,0.000009285001,0.0005222425,0.00001423943,0.00003961282],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0148939,"threshold_uncertainty_score":0.5474589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007184698649611825,"score_gpt":0.2476339792713569,"score_spread":0.2404492806217451,"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."}}