{"id":"W2953124015","doi":"10.1101/296533","title":"New tools for carbohydrate sulphation analysis: Heparan Sulphate 2- <i>O</i> -sulphotranserase (HS2ST) is a target for small molecule protein kinase inhibitors","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Proteoglycans and glycosaminoglycans research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Biotechnology and Biological Sciences Research Council; Novartis Pharma; National Institutes of Health; Ministero dello Sviluppo Economico; Genome Canada; Fundação de Amparo à Pesquisa do Estado de São Paulo; Ontario Ministry of Economic Development and Innovation; European Federation of Pharmaceutical Industries and Associations; Merck KGaA; Wellcome Trust; Small Business Innovation Research; European Commission; North West Cancer Research; Pfizer","keywords":"Sulfation; Biochemistry; Protein kinase A; Chemistry; Kinase; Small molecule; Glycan; Glycosyltransferase; Enzyme; Glycoprotein","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":[0.0005436238,0.001027046,0.0004144639,0.001528104,0.0003512435,0.0006947076,0.0004630467,0.0006746238,0.003797108],"category_scores_gemma":[0.0004195475,0.0004461108,0.0005693205,0.0006232841,0.0004264062,0.0007871981,0.0004594305,0.001619335,0.001756618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004418045,"about_ca_system_score_gemma":0.0002983669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004140198,"about_ca_topic_score_gemma":0.001078634,"domain_scores_codex":[0.9995315,0.00009882803,0.00003033443,0.00008108459,0.0002104225,0.00004782176],"domain_scores_gemma":[0.9996557,0.00008755631,0.00008382615,0.00003957054,0.00008135307,0.00005197602],"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":[0.00004938094,0.00002361171,0.0001057485,0.00007376574,0.00001337385,0.00002871557,0.0000125646,0.00008204574,0.9944583,0.0002071092,0.0001683618,0.004776949],"study_design_scores_gemma":[0.00001182062,0.0001497338,0.001175113,0.000009630304,0.0000174945,0.0002768837,0.00001385367,0.001981442,0.9885595,0.0001937999,0.007595091,0.00001561252],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3553802,0.01967649,0.5992205,0.001370976,0.0006913998,0.0005841218,0.004107559,0.005028957,0.01393987],"genre_scores_gemma":[0.5362632,0.01602624,0.4057784,0.0007143182,0.0002264189,0.001097196,0.004859678,0.0006040779,0.03443039],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003797108,"threshold_uncertainty_score":0.01270258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01805431489023335,"score_gpt":0.2502263613788405,"score_spread":0.2321720464886071,"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."}}