{"id":"W4390233603","doi":"10.7150/thno.85437","title":"Combined BET and MEK Inhibition synergistically suppresses melanoma by targeting YAP1","year":2023,"lang":"en","type":"article","venue":"Theranostics","topic":"Protein Degradation and Inhibitors","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"SKiN Health","funders":"China Postdoctoral Science Foundation; Central South University; National Natural Science Foundation of China; National Key Research and Development Program of China; Yale University","keywords":"YAP1; Trametinib; MEK inhibitor; Melanoma; Cancer research; Hippo signaling pathway; Downregulation and upregulation; Biology; Chemistry; MAPK/ERK pathway; Signal transduction; Cell biology; Transcription factor; Gene; Biochemistry","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":[0.0001360484,0.0001167495,0.0001003248,0.00002916527,0.0000648838,0.00003430156,0.00006372856,0.0001077464,0.00001491864],"category_scores_gemma":[0.0003168033,0.0001099959,0.00002669463,0.00008967644,0.00008432756,0.000004103302,0.00007334291,0.00006152292,0.00001393476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004634428,"about_ca_system_score_gemma":0.00001930725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007074622,"about_ca_topic_score_gemma":0.000001629568,"domain_scores_codex":[0.9992831,0.00005194281,0.0001641277,0.0002066779,0.0001098917,0.0001842703],"domain_scores_gemma":[0.9996461,0.00004290804,0.0000452584,0.0001389624,0.00005712534,0.000069605],"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":[0.00004922833,0.00002404889,0.0004457031,0.00001664485,0.00002024476,0.000003730012,0.00003180964,0.000008398351,0.9420425,0.0006368857,0.05610875,0.0006120216],"study_design_scores_gemma":[0.0006821281,0.0002914384,0.0006607394,0.0000183721,0.00001645884,0.000002615006,0.00006193746,0.0003275102,0.9359237,0.0006622881,0.06114404,0.0002087593],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955326,0.0004507304,0.002330494,0.0006546603,0.0001556156,0.0001655099,0.00007549926,0.0001753599,0.0004595346],"genre_scores_gemma":[0.9973068,0.0004455289,0.0003965439,0.0003058194,0.0001374762,0.00001398999,0.0008455508,0.00004560958,0.0005026718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006118827,"threshold_uncertainty_score":0.4485504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006042556253851118,"score_gpt":0.2220941309684641,"score_spread":0.216051574714613,"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."}}