{"id":"W2035503247","doi":"10.1021/ac026196y","title":"Quantitative Chemical Proteomics for Identifying Candidate Drug Targets","year":2003,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":190,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institute for Theoretical Astrophysics","keywords":"Chemistry; Proteomics; Surface plasmon resonance; Computational biology; Small molecule; Mass spectrometry; Drug discovery; Quantitative proteomics; Affinity chromatography; Chromatography; Multiplex; Chemical biology; Biochemistry; Combinatorial chemistry; Nanotechnology; Enzyme; Bioinformatics","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":[0.003091522,0.0009939929,0.001124431,0.002068151,0.0004271641,0.001236969,0.0009798229,0.000943292,0.002119815],"category_scores_gemma":[0.001855004,0.0004842544,0.0004649907,0.001505347,0.0007373105,0.0008494541,0.000524897,0.001296661,0.001714753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007761561,"about_ca_system_score_gemma":0.000754332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004428679,"about_ca_topic_score_gemma":0.0009081638,"domain_scores_codex":[0.9983663,0.0005267408,0.00006840676,0.0002625184,0.0006960788,0.00007994968],"domain_scores_gemma":[0.9993136,0.0003582062,0.00006877966,0.00006820446,0.0001541384,0.0000370904],"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":[0.00008716282,0.00008316983,0.0003963974,0.0005270842,0.00003889595,0.00003491416,0.00002084943,0.0007101627,0.9485189,0.003548243,0.0008926354,0.04514163],"study_design_scores_gemma":[0.00008021927,0.00056452,0.001824003,0.00006445025,0.00009528791,0.0005552578,0.00003945913,0.02202101,0.9304554,0.004602211,0.03965037,0.0000478222],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04157303,0.02531031,0.9222547,0.001189098,0.0003914542,0.0007237123,0.001650568,0.001533358,0.005373711],"genre_scores_gemma":[0.139478,0.01573534,0.836567,0.0008418913,0.0002247056,0.001083826,0.00149303,0.0001260822,0.004450157],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003091522,"threshold_uncertainty_score":0.01634979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02674483617322587,"score_gpt":0.3305182218629255,"score_spread":0.3037733856896996,"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."}}