{"id":"W3033827787","doi":"10.1038/s41598-020-65973-3","title":"Identification of two aptamers binding to Legionella pneumophila with high affinity and specificity","year":2020,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Legionella and Acanthamoeba research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Government of Canada; McGill University","keywords":"Aptamer; Systematic evolution of ligands by exponential enrichment; Legionella pneumophila; Biosensor; Oligonucleotide; Computational biology; Legionella; Chemistry; Biology; Microbiology; Molecular biology; Bacteria; Biochemistry; RNA; DNA; Genetics; Gene","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":[0.0003263751,0.000412179,0.0002963222,0.0002559564,0.0001395957,0.0003099896,0.0002224083,0.0004933303,0.0007412137],"category_scores_gemma":[0.0005189261,0.0001624361,0.0002037912,0.0001645662,0.0002080774,0.0001417866,0.0003119248,0.0003196583,0.0003325482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001826247,"about_ca_system_score_gemma":0.0001188113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002437703,"about_ca_topic_score_gemma":0.0003978928,"domain_scores_codex":[0.999662,0.00009073546,0.00002528611,0.00006872233,0.00009665751,0.00005658921],"domain_scores_gemma":[0.9997351,0.00009265808,0.00003820288,0.00002843929,0.00005955508,0.00004597181],"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":[0.00003380782,0.00003262286,0.0003277561,0.00001424233,0.000003837317,0.00003532132,0.00002044023,0.0001221643,0.9979903,0.00002087576,0.00001806412,0.001380609],"study_design_scores_gemma":[0.00001239196,0.0002426381,0.002283148,0.000003325315,0.00001126916,0.0002308067,0.00002960459,0.001836857,0.9945057,0.00002222812,0.0008168203,0.000005147447],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9859562,0.0003174045,0.01234791,0.00008686032,0.00001580172,0.00008562475,0.0000952823,0.00006737591,0.001027627],"genre_scores_gemma":[0.985332,0.000125464,0.01167359,0.00009197836,0.000004076561,0.00005702141,0.0003184997,0.00001920832,0.002378179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007412137,"threshold_uncertainty_score":0.002479613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01984680449063691,"score_gpt":0.267424507880541,"score_spread":0.2475777033899041,"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."}}