{"id":"W3120083975","doi":"10.1177/2472555220985040","title":"A High-Throughput RNA Displacement Assay for Screening SARS-CoV-2 nsp10-nsp16 Complex toward Developing Therapeutics for COVID-19","year":2021,"lang":"en","type":"article","venue":"SLAS DISCOVERY","topic":"Bacteriophages and microbial interactions","field":"Environmental Science","cited_by":40,"is_retracted":false,"has_abstract":false,"ca_institutions":"Structural Genomics Consortium; University of Toronto","funders":"Genentech; University of Toronto; Ontario Genomics Institute; European Federation of Pharmaceutical Industries and Associations; Merck KGaA; Mitacs; Ontario Genomics; Genome Canada; Fundação de Amparo à Pesquisa do Estado de São Paulo; McGill University; Pfizer","keywords":"RNA; Messenger RNA; Isothermal titration calorimetry; Chemistry; Virology; High-throughput screening; Five-prime cap; Methyltransferase; Biology; Molecular biology; Biochemistry; DNA; Non-coding RNA; Gene; Methylation","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":[0.001085407,0.001737432,0.0008602627,0.0006367817,0.0005511587,0.0004755884,0.001008704,0.0009892823,0.003069888],"category_scores_gemma":[0.0005387482,0.0006897023,0.0006914631,0.0005049615,0.0004018358,0.0003034967,0.0005764859,0.001414851,0.001728982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005566895,"about_ca_system_score_gemma":0.000633679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001312996,"about_ca_topic_score_gemma":0.005067891,"domain_scores_codex":[0.998911,0.000291997,0.00006212436,0.0001527565,0.0004373113,0.0001447611],"domain_scores_gemma":[0.9997036,0.0001017601,0.00002985638,0.00003190868,0.00008276837,0.00005000288],"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":[0.00004193477,0.00009383455,0.0001177916,0.00006280246,0.00001117469,0.00001976838,0.00001987056,0.0001462202,0.9975007,0.00006864978,0.0001682143,0.001748989],"study_design_scores_gemma":[0.00003274346,0.000693363,0.0007958096,0.00001251093,0.00002475914,0.0001176893,0.0000405153,0.004183001,0.9916294,0.00005310426,0.002394857,0.00002220051],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7603136,0.003306567,0.2154436,0.0006787615,0.0003682905,0.00208919,0.004118843,0.00139359,0.01228767],"genre_scores_gemma":[0.6474574,0.002919268,0.3070336,0.0004834314,0.00008284437,0.001686205,0.01075465,0.0001546521,0.02942799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003069888,"threshold_uncertainty_score":0.01026976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1188224633664327,"score_gpt":0.3587639986768448,"score_spread":0.2399415353104122,"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."}}