{"id":"W4412975036","doi":"10.3390/ph18081161","title":"Design, Synthesis, and Bioactivity Assessment of Modified Vemurafenib Analog","year":2025,"lang":"en","type":"article","venue":"Pharmaceuticals","topic":"Melanoma and MAPK Pathways","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine","funders":"Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Vemurafenib; Medicine; Melanoma; Cancer research; Metastasis; Matrix metalloproteinase; Drug resistance; Malignancy; V600E; Pharmacology; Oncology; Internal medicine; Metastatic melanoma; Cancer; Mutation; Chemistry; Biology; 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":[0.0003473622,0.0001093451,0.0001759076,0.00004895628,0.0000431786,0.0000105142,0.0001027172,0.00008562705,0.00001978957],"category_scores_gemma":[0.00009343954,0.00009866085,0.00004477162,0.00007658114,0.00009806965,0.000002668844,0.00009899183,0.00006833489,0.000001020711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007918433,"about_ca_system_score_gemma":0.00007420255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005326314,"about_ca_topic_score_gemma":9.363229e-7,"domain_scores_codex":[0.9992031,0.0001460785,0.0001673033,0.000242017,0.00007785714,0.0001636304],"domain_scores_gemma":[0.9995345,0.0001051225,0.00004658403,0.0002000535,0.00004280876,0.00007091626],"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":[0.00006766499,0.00009910617,0.002608257,0.00006068648,0.0001001059,0.000001895688,0.000005864474,0.00003043333,0.9855671,0.001544603,0.0003344943,0.009579805],"study_design_scores_gemma":[0.0003799328,0.00006120765,0.005280924,0.00001622549,0.00007331837,0.000002687609,0.000008447548,0.001941243,0.9866917,0.0003148786,0.00512687,0.0001025354],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8479685,0.001389184,0.1385903,0.0004048968,0.0001624154,0.0003697169,0.00003200709,0.00001749699,0.01106554],"genre_scores_gemma":[0.9970949,0.0004045357,0.002072491,0.0002196105,0.00003010408,0.00003622645,0.00000732721,0.000006697529,0.0001280803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1491265,"threshold_uncertainty_score":0.4023273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04929140372200529,"score_gpt":0.373308055114508,"score_spread":0.3240166513925027,"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."}}