{"id":"W2076192332","doi":"10.1016/j.bbrc.2015.02.121","title":"Cross talk between Leishmania donovani CpG DNA and Toll-like receptor 9: An immunoinformatics approach","year":2015,"lang":"en","type":"article","venue":"Biochemical and Biophysical Research Communications","topic":"Research on Leishmaniasis Studies","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; Ottawa Hospital; Natural Sciences and Engineering Research Council of Canada","funders":"Department of Science and Technology, Ministry of Science and Technology, India","keywords":"TLR9; Leishmania donovani; Toll-Like Receptor 9; CpG site; Biology; CpG Oligodeoxynucleotide; DNA; Leishmania; Innate immune system; Cell biology; DNA methylation; Visceral leishmaniasis; Gene; Genetics; Receptor; Leishmaniasis; Parasite hosting; Gene expression","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004142748,0.0002762458,0.0002739974,0.0003032633,0.0001974821,0.0005952743,0.0004375308,0.0005701684,0.001555573],"category_scores_gemma":[0.0004131197,0.0002266195,0.0002813863,0.0001760975,0.0002592541,0.0007663672,0.0005469084,0.0007291273,0.000355061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002765742,"about_ca_system_score_gemma":0.0002150392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001145983,"about_ca_topic_score_gemma":0.0001674233,"domain_scores_codex":[0.9998947,0.00003472602,0.000003831799,0.00002588526,0.00002579955,0.00001503524],"domain_scores_gemma":[0.9998827,0.00006990271,0.00001936831,0.00000728897,0.00001231796,0.000008556719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002410794,0.0001336083,0.00124131,0.0002566825,0.00006135707,0.0003067854,0.00006230287,0.01325197,0.9452212,0.01782989,0.0004210739,0.02097263],"study_design_scores_gemma":[0.000044565,0.0003517537,0.001654911,0.0000380956,0.0001013238,0.0006084802,0.0002085792,0.2438798,0.7278088,0.01881702,0.006454552,0.00003213416],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7046397,0.006375311,0.2696049,0.002761641,0.0003545476,0.0001001606,0.0002018989,0.0003625553,0.01559933],"genre_scores_gemma":[0.952089,0.002398062,0.04159679,0.0006246324,0.0000544924,0.00007585929,0.0001446658,0.00001489263,0.00300165],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001555573,"threshold_uncertainty_score":0.005203903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1796077489823413,"score_gpt":0.4223686448270897,"score_spread":0.2427608958447485,"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."}}