{"id":"W3002358201","doi":"10.1021/acs.analchem.9b05419","title":"Probing Heteromultivalent Protein–Glycosphingolipid Interactions using Native Mass Spectrometry and Nanodiscs","year":2020,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Glycomics Centre; Canada Foundation for Innovation; Ministry of Advanced Education, Government of Alberta","keywords":"Chemistry; Electrospray ionization; Ganglioside; Glycosphingolipid; Ligand (biochemistry); Binding site; Plasma protein binding; Protein subunit; Biophysics; Ligand binding assay; Biochemistry; Mass spectrometry; Receptor; 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":[0.0002583109,0.000500329,0.0005188232,0.0003514095,0.0002697874,0.000591467,0.0005823067,0.000783161,0.0004268153],"category_scores_gemma":[0.0002360953,0.0002073561,0.0003041078,0.0002533657,0.0003968692,0.0004167068,0.0004024893,0.0005844368,0.0003777436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008061723,"about_ca_system_score_gemma":0.0001903295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007408695,"about_ca_topic_score_gemma":0.000877802,"domain_scores_codex":[0.9996524,0.00003415193,0.00002769255,0.00009192047,0.0001502118,0.00004368061],"domain_scores_gemma":[0.9998654,0.0000338707,0.00003699985,0.00001605484,0.00002450964,0.00002318892],"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":[0.00002097889,0.00001485282,0.00007651115,0.00002942561,0.000006631761,0.00002132889,0.00001222222,0.00005231219,0.9991632,0.00006598222,0.00002128926,0.000515288],"study_design_scores_gemma":[0.000004487378,0.0000589665,0.001163789,0.000004150158,0.00000966453,0.0001078729,0.00003326527,0.002648455,0.9950926,0.0000613801,0.0008079235,0.000007454757],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9605698,0.002758566,0.03322781,0.0002187411,0.00008796736,0.0001041202,0.001067809,0.0003324187,0.001632792],"genre_scores_gemma":[0.9525615,0.002810941,0.04083494,0.0003820732,0.00002686356,0.0002243333,0.00137627,0.00006115013,0.001721906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008061723,"threshold_uncertainty_score":0.005849183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03325895471325536,"score_gpt":0.3085004316667989,"score_spread":0.2752414769535435,"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."}}