{"id":"W4297220994","doi":"10.1038/s41467-022-33400-y","title":"High-throughput small molecule screen identifies inhibitors of microsporidia invasion and proliferation in C. elegans","year":2022,"lang":"en","type":"article","venue":"Nature Communications","topic":"Genetics, Aging, and Longevity in Model Organisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Office of Extramural Research, National Institutes of Health; National Institute of General Medical Sciences; National Institute of Allergy and Infectious Diseases; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Searle Scholars Program; Alfred P. Sloan Foundation; National Institutes of Health; Government of Canada; Pew Charitable Trusts; U.S. Department of Health and Human Services","keywords":"Microsporidia; Biology; Obligate; Caenorhabditis elegans; Intracellular parasite; Identification (biology); Computational biology; Intracellular; Microbiology; Spore; Cell biology; Genetics; Gene; Ecology","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":[0.0002432018,0.0007841446,0.0005293917,0.0005548648,0.0002792543,0.0003577082,0.0004349832,0.0003409326,0.001028363],"category_scores_gemma":[0.0001402182,0.0001926854,0.0004353315,0.0002862157,0.0001742606,0.0001676227,0.000211632,0.0004856463,0.0002586586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004347934,"about_ca_system_score_gemma":0.0006218845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002234192,"about_ca_topic_score_gemma":0.009732239,"domain_scores_codex":[0.9998623,0.00001229151,0.00001155878,0.00002546602,0.00006841075,0.00001992642],"domain_scores_gemma":[0.9998968,0.00002433111,0.00002186449,0.00000833695,0.00002446676,0.00002435544],"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":[0.0002232411,0.0001818461,0.0008478402,0.0001570046,0.00004936022,0.00006547292,0.00000813407,0.0007056503,0.9910821,0.00004597606,0.0003178375,0.006315469],"study_design_scores_gemma":[0.0003041039,0.004289943,0.01846577,0.00003267261,0.000212856,0.0004246211,0.00002954529,0.005706906,0.9645108,0.00006273916,0.005921484,0.00003859071],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9801748,0.004473989,0.006120699,0.0002141102,0.00006022381,0.0004757266,0.004908287,0.0004535226,0.003118657],"genre_scores_gemma":[0.9615979,0.006508417,0.01986814,0.0002383743,0.00002462074,0.0004497457,0.006828016,0.00003819693,0.004446607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002234192,"threshold_uncertainty_score":0.004442453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01194313406876592,"score_gpt":0.2458123660476626,"score_spread":0.2338692319788967,"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."}}