{"id":"W2085088526","doi":"10.1021/acs.analchem.5b00678","title":"Protein–Glycolipid Interactions Studied in Vitro Using ESI-MS and Nanodiscs: Insights into the Mechanisms and Energetics of Binding","year":2015,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Glycomics Centre; University of Victoria; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Glycomics Centre; Canadian Institutes of Health Research; Alberta Innovates - Technology Futures","keywords":"Chemistry; Electrospray ionization; Glycolipid; Protein subunit; Affinities; Ganglioside; Mass spectrometry; Ligand (biochemistry); Cholera toxin; Stereochemistry; Biophysics; Biochemistry; Chromatography; Receptor","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":[0.0002780392,0.0004274081,0.0005161242,0.000166347,0.0002674553,0.0005210387,0.0004172263,0.00042932,0.0004942695],"category_scores_gemma":[0.0003299649,0.0001637258,0.0002605807,0.0002462803,0.0003220027,0.0004985171,0.0003313209,0.0005465819,0.0003105531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009539107,"about_ca_system_score_gemma":0.0002716434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001222148,"about_ca_topic_score_gemma":0.001219912,"domain_scores_codex":[0.999725,0.00003600441,0.00001888284,0.00005675773,0.000123354,0.00003997521],"domain_scores_gemma":[0.999827,0.0000848877,0.00003419981,0.00001051629,0.00002357464,0.00001988001],"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":[0.00006209041,0.00001895103,0.0003838398,0.00006708204,0.0000121798,0.0000315872,0.00002644581,0.0005033123,0.9976598,0.0001249763,0.00004003345,0.00106978],"study_design_scores_gemma":[0.000005496796,0.00005790647,0.00207675,0.000003824937,0.00001151176,0.00006820591,0.0000393217,0.006816702,0.9900705,0.0001030011,0.0007361512,0.00001054149],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9818704,0.002727317,0.0130998,0.0001689975,0.00003056371,0.00004083663,0.0004640285,0.00008446381,0.001513497],"genre_scores_gemma":[0.9901883,0.001664556,0.006701888,0.0001325171,0.000008940917,0.00004330174,0.0004788319,0.00002206343,0.0007596418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001222148,"threshold_uncertainty_score":0.006921172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02842169713420581,"score_gpt":0.305931308601916,"score_spread":0.2775096114677101,"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."}}