{"id":"W2157440617","doi":"10.1093/bfgp/elp006","title":"Quantitative proteomics for drug toxicity","year":2009,"lang":"en","type":"review","venue":"Briefings in Functional Genomics and Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Oak Ridge Institute for Science and Education; Canadian Institute for Theoretical Astrophysics","keywords":"Drug development; Drug; Biology; Toxicity; Proteomics; Drug toxicity; Quantitative proteomics; Drug discovery; Computational biology; Pharmacology; Bioinformatics; Medicine; Internal medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001608626,0.002294682,0.002256672,0.002979673,0.0005938723,0.001697113,0.001833603,0.002776957,0.006550697],"category_scores_gemma":[0.001113343,0.0006930933,0.0009732734,0.00309723,0.001597467,0.003485872,0.001622463,0.004851345,0.009904454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001889373,"about_ca_system_score_gemma":0.001177306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008854594,"about_ca_topic_score_gemma":0.001123808,"domain_scores_codex":[0.9992291,0.0001344443,0.00005780645,0.0001421147,0.0003927518,0.00004383049],"domain_scores_gemma":[0.9994795,0.0001994582,0.00005258534,0.00004820893,0.0001784169,0.00004198022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008332505,0.0001461215,0.0001477599,0.01005465,0.000155423,0.0004439552,0.00009002027,0.0009799124,0.02360754,0.03680564,0.1201564,0.8073292],"study_design_scores_gemma":[0.0000123257,0.00005348926,0.0001788282,0.0004882598,0.00002429018,0.0009209644,0.00002192479,0.0002723859,0.004136191,0.00893548,0.9849297,0.00002610685],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001715904,0.9860917,0.005316283,0.001463016,0.001960912,0.00002668641,0.00004968376,0.00007450497,0.004845609],"genre_scores_gemma":[0.001693049,0.9843089,0.004792037,0.001244975,0.001256495,0.00004447141,0.00009154488,0.00002022009,0.006548342],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006550697,"threshold_uncertainty_score":0.02191424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0551293660799528,"score_gpt":0.3272106499530751,"score_spread":0.2720812838731223,"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."}}