{"id":"W2105437577","doi":"10.1371/journal.pone.0001583","title":"Selective Pharmacological Targeting of a DEAD Box RNA Helicase","year":2008,"lang":"en","type":"article","venue":"PLoS ONE","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":129,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Karolinska Institutet; Max Kade Foundation; McGill University; National Cancer Institute; National Institutes of Health; Brandeis University","keywords":"eIF4A; Helicase; RNA Helicase A; RNA; Biology; RNA splicing; Ribosome; Ribosome biogenesis; Translation (biology); Cell biology; Messenger RNA; Computational biology; Genetics; Biochemistry; 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":[0.0001596343,0.0003345097,0.0002922453,0.000149337,0.0001366858,0.0002484607,0.0002150773,0.0002649685,0.001078105],"category_scores_gemma":[0.00009287985,0.000121577,0.0001705146,0.00009412399,0.0002341068,0.0001679619,0.000133189,0.0004478635,0.0002108081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003099556,"about_ca_system_score_gemma":0.0002123967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003456036,"about_ca_topic_score_gemma":0.0008620425,"domain_scores_codex":[0.9999142,0.0000121382,0.000006709082,0.00002078723,0.00002037636,0.00002588935],"domain_scores_gemma":[0.9999561,0.000009626882,0.00001316281,0.000005354295,0.000004917967,0.00001086197],"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":[0.0001527735,0.00003591863,0.00006110314,0.00004430607,0.000008403136,0.00004594238,0.000007497413,0.0000891143,0.9972234,0.0002681279,0.00005334296,0.002010104],"study_design_scores_gemma":[0.00005610339,0.0006606433,0.0006524004,0.000004358938,0.0000221603,0.0001853646,0.00001180173,0.000751639,0.9947218,0.000084009,0.002844617,0.000005160348],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9845899,0.002861311,0.007614254,0.00027664,0.00007182367,0.0001110002,0.0003830502,0.0001663633,0.003925595],"genre_scores_gemma":[0.9921779,0.00175174,0.003242309,0.00007950309,0.00001689957,0.00004806326,0.0002053724,0.00001487837,0.002463382],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001078105,"threshold_uncertainty_score":0.003606617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04056289129727342,"score_gpt":0.2500677687329328,"score_spread":0.2095048774356594,"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."}}