{"id":"W4309416179","doi":"10.1101/2022.11.17.516844","title":"Genome-wide libraries for protozoan pathogens drug target screening using yeast surface display","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Trypanosoma species research and implications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research; Trent University; Natural Sciences and Engineering Research Council of Canada; Mitacs; McGill University","keywords":"Giardia lamblia; Biology; Genome; Computational biology; Genomic library; Drug discovery; Gene; Genetics; Trypanosoma brucei; Bioinformatics; Peptide sequence","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":[0.0004971267,0.0006523401,0.0005966736,0.0008793641,0.0002497373,0.0007250493,0.0004021368,0.0004085018,0.001446476],"category_scores_gemma":[0.0004951422,0.0002714586,0.0006014635,0.0009074174,0.0002138007,0.000238102,0.000581976,0.0006353484,0.0008193225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003615339,"about_ca_system_score_gemma":0.0001999179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006647643,"about_ca_topic_score_gemma":0.0009726551,"domain_scores_codex":[0.9995767,0.00008328271,0.00003606762,0.00008103762,0.0001776962,0.00004517892],"domain_scores_gemma":[0.9996889,0.00008471909,0.00005561994,0.00005516858,0.0000786915,0.00003701844],"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":[0.00005167475,0.00002410809,0.0004412742,0.00004739604,0.0000191534,0.00003267722,0.00001242591,0.0003264204,0.9950743,0.00009887043,0.000167322,0.003704354],"study_design_scores_gemma":[0.00001516107,0.0001684214,0.003454343,0.000007042869,0.00003262222,0.0001709461,0.00002922999,0.003736544,0.9886984,0.00008850319,0.003585363,0.00001335103],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8050339,0.002892583,0.1754529,0.0005215654,0.00008061539,0.0004233595,0.008674269,0.003315695,0.003605072],"genre_scores_gemma":[0.8661861,0.002063229,0.1087113,0.0002898496,0.00002087683,0.0003276592,0.01701526,0.0003983899,0.004987312],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001446476,"threshold_uncertainty_score":0.004839003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03145971351266393,"score_gpt":0.2704420651295639,"score_spread":0.2389823516169,"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."}}