{"id":"W2611677410","doi":"","title":"Biochemical Characterization of FIKK Kinase from Cryptosporidium parvum and Discovery of Potent Inhibitors","year":2016,"lang":"en","type":"dissertation","venue":"TSpace (University of Toronto)","topic":"Parasitic Infections and Diagnostics","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministero dello Sviluppo Economico; Fundação de Amparo à Pesquisa do Estado de São Paulo; Ontario Ministry of Economic Development and Innovation; Ontario Genomics Institute; European Federation of Pharmaceutical Industries and Associations; Novartis Pharma; Wellcome Trust; Genome Canada; Ontario Genomics; Pfizer","keywords":"Cryptosporidium parvum; Cryptosporidium; Kinase; Computational biology; Biology; Microbiology; Chemistry; Biochemistry","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":[0.0001320999,0.00041442,0.0002531928,0.0002235809,0.0001659636,0.0001586892,0.0002041389,0.0002161494,0.0005201309],"category_scores_gemma":[0.000148516,0.0001137172,0.0002578444,0.0002525888,0.0001037994,0.00020848,0.0001058423,0.0004654191,0.0002609309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003435061,"about_ca_system_score_gemma":0.000326701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001680982,"about_ca_topic_score_gemma":0.001495956,"domain_scores_codex":[0.999936,0.000006921489,0.000007760147,0.00001073703,0.00002054473,0.0000180693],"domain_scores_gemma":[0.9999573,0.000007204409,0.000007927511,0.000002689887,0.00001241278,0.00001235627],"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":[0.0001217407,0.0000638344,0.0003763743,0.0001979453,0.000009409964,0.0001238963,0.00001631895,0.0004582889,0.9942246,0.0001376748,0.0001643809,0.004105602],"study_design_scores_gemma":[0.00004168578,0.0004644825,0.007264302,0.00001220264,0.0000361137,0.0006436419,0.00003704196,0.002163304,0.9813578,0.0001228344,0.007838787,0.00001784579],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9595572,0.0214994,0.009419133,0.0009141809,0.00014339,0.000191956,0.002478626,0.000099465,0.005696606],"genre_scores_gemma":[0.9651878,0.01313073,0.01152499,0.0001881174,0.00004745628,0.00009754823,0.005833321,0.00001944955,0.003970738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001680982,"threshold_uncertainty_score":0.00334239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00492779375738484,"score_gpt":0.2100987733496864,"score_spread":0.2051709795923016,"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."}}