{"id":"W2142001232","doi":"10.1002/anie.201411747","title":"A FRET Probe for Cell‐Based Imaging of Ganglioside‐Processing Enzyme Activity and High‐Throughput Screening","year":2015,"lang":"en","type":"article","venue":"Angewandte Chemie International Edition","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Alberta Glycomics Centre; University of British Columbia","funders":"National Key Research and Development Program of China; Canadian Institutes of Health Research; Austrian Science Fund; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Glycosphingolipid; Enzyme; Förster resonance energy transfer; Ganglioside; Biochemistry; High-throughput screening; Ceramide; Cell; Chemistry; Microtiter plate; Sphingolipid; Plate reader; Biology; Cell biology; Fluorescence; Chromatography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001168691,0.0007229579,0.001017121,0.0004539951,0.0003684988,0.000513173,0.001314619,0.001705875,0.001687172],"category_scores_gemma":[0.0005316242,0.0004035902,0.0006444206,0.000637371,0.0004262672,0.0006797211,0.0007779919,0.001376152,0.001068886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009386613,"about_ca_system_score_gemma":0.0003401092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004061847,"about_ca_topic_score_gemma":0.000472114,"domain_scores_codex":[0.9991118,0.0002354317,0.00004156354,0.0002204597,0.000266668,0.0001240523],"domain_scores_gemma":[0.9997472,0.0001098864,0.00003035246,0.00003944846,0.00004082953,0.00003222273],"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":[0.00006519258,0.00003824117,0.00007296343,0.00006410112,0.000009451111,0.00008184877,0.0000292146,0.0004452208,0.9937271,0.000839081,0.0004213304,0.004206296],"study_design_scores_gemma":[0.00001225639,0.0001052191,0.0001890708,0.000004856071,0.000008857172,0.0001739204,0.0000141167,0.00575036,0.9907696,0.0001364569,0.002820553,0.0000147701],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4461341,0.003147304,0.5330143,0.001302389,0.0002719408,0.0004486557,0.001848114,0.003117759,0.01071548],"genre_scores_gemma":[0.7207639,0.002999487,0.2614998,0.0004318145,0.00006297408,0.001450163,0.001505713,0.0002430059,0.01104327],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001705875,"threshold_uncertainty_score":0.006810427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02555830409784495,"score_gpt":0.2988605331905186,"score_spread":0.2733022290926737,"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."}}