{"id":"W2094455722","doi":"10.1371/journal.pone.0024806","title":"Virtual High-Throughput Screening Identifies Mycophenolic Acid as a Novel RNA Capping Inhibitor","year":2011,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Biochemical and Molecular Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Mycophenolic acid; High-throughput screening; Throughput; Virtual screening; Chemistry; RNA; Computational biology; Cell biology; Drug discovery; Biology; Computer science; Biochemistry; Medicine; Gene; Transplantation","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001441351,0.0002092601,0.0002171742,0.00006130849,0.0001269992,0.00004442099,0.0003380017,0.0002368948,0.0001347053],"category_scores_gemma":[0.0002121167,0.000208092,0.0001016507,0.0001381452,0.0001667222,0.000009504128,0.0004613881,0.0002286127,0.0001263888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001378081,"about_ca_system_score_gemma":0.00006262366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002156628,"about_ca_topic_score_gemma":0.00002115062,"domain_scores_codex":[0.9983503,0.00003764404,0.000237146,0.0005245474,0.0003922838,0.0004580774],"domain_scores_gemma":[0.9991356,0.000007440838,0.00006846508,0.0004515095,0.0001535024,0.0001835324],"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":[0.0001422355,0.0006612092,0.0001136511,0.00004208364,0.0002976769,0.00001006711,0.0001444348,3.059434e-7,0.9975297,0.0002286629,0.0002267531,0.000603262],"study_design_scores_gemma":[0.0006575874,0.0003734441,0.0003342307,0.0001013973,0.00005067393,0.000007557334,0.0001069975,0.00001634355,0.9976097,0.0001372753,0.0003320378,0.0002727218],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992496,0.0006330094,0.004189897,0.0001232686,0.00005555944,0.0002306576,0.00002227465,0.0000380007,0.002211369],"genre_scores_gemma":[0.9910989,0.0001128579,0.006196852,0.0003778268,0.0004361946,0.00005473357,0.0001161171,0.0000457703,0.001560732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002006955,"threshold_uncertainty_score":0.8485745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06202947845947328,"score_gpt":0.248674221380112,"score_spread":0.1866447429206387,"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."}}