{"id":"W2014460006","doi":"10.1021/ac051131r","title":"High-Throughput Screening for Enzyme Inhibitors Using Frontal Affinity Chromatography with Liquid Chromatography and Mass Spectrometry","year":2005,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Alberta","funders":"","keywords":"Chemistry; Chromatography; High-throughput screening; Mass spectrometry; Enzyme; Affinity chromatography; Ligand (biochemistry); Biochemistry; Receptor","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006890587,0.001309414,0.0008799143,0.0008973043,0.0003818333,0.0007806408,0.000719962,0.0004772603,0.00160334],"category_scores_gemma":[0.0007620295,0.0003492235,0.0005032871,0.0005929625,0.0003337214,0.0005354517,0.0005233667,0.0005384409,0.001272688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000712558,"about_ca_system_score_gemma":0.0006015822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001610253,"about_ca_topic_score_gemma":0.003119363,"domain_scores_codex":[0.9993063,0.0001064148,0.00003465611,0.0001006044,0.0003748619,0.00007708008],"domain_scores_gemma":[0.9996107,0.000135656,0.00007419093,0.00004213841,0.000100561,0.0000367256],"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":[0.0001623566,0.0001573045,0.0007962417,0.0001405475,0.00007912928,0.00004631828,0.00001324327,0.0007648143,0.960272,0.0002178534,0.0004695352,0.03688069],"study_design_scores_gemma":[0.00005592829,0.0006473824,0.003654888,0.00001220647,0.0001016596,0.0006271049,0.00002014236,0.008465022,0.9762081,0.0002167157,0.009954177,0.00003663993],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3333051,0.01442335,0.6348013,0.0005740195,0.000103008,0.001230236,0.003190829,0.004894205,0.007478006],"genre_scores_gemma":[0.5294287,0.01222077,0.444216,0.000829418,0.0001384542,0.0008858531,0.004979824,0.0002065612,0.007094473],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001610253,"threshold_uncertainty_score":0.005363703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02352563730334287,"score_gpt":0.2947047198104098,"score_spread":0.2711790825070669,"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."}}