{"id":"W3208481717","doi":"10.1261/rna.078889.121","title":"RNALigands: a database and web server for RNA–ligand interactions","year":2021,"lang":"en","type":"article","venue":"RNA","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; National Science Foundation","keywords":"RNA; Biology; Computational biology; Web server; Protein Data Bank (RCSB PDB); Small molecule; Structural motif; Nucleic acid structure; Protein secondary structure; Non-coding RNA; Riboswitch; Small RNA; Genetics; Gene; Computer science; Biochemistry","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":[0.001342045,0.002400717,0.002714876,0.002270174,0.0007380216,0.002188553,0.003922585,0.001941705,0.04772831],"category_scores_gemma":[0.002969656,0.001537059,0.001220764,0.002179816,0.0003984282,0.001885385,0.002070926,0.002417756,0.04590288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008829188,"about_ca_system_score_gemma":0.00199367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001679006,"about_ca_topic_score_gemma":0.002632091,"domain_scores_codex":[0.9992056,0.0001669691,0.0001265492,0.0001819865,0.0002155898,0.0001033799],"domain_scores_gemma":[0.99922,0.0003396251,0.0001114904,0.00009116222,0.00008966675,0.0001480482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004346911,0.0004530317,0.00308538,0.009306017,0.0005691552,0.0009089936,0.0003215661,0.01196455,0.07404228,0.0161867,0.7371829,0.1416325],"study_design_scores_gemma":[0.001886262,0.0004352377,0.00383132,0.0004870193,0.0002798993,0.00101897,0.0001552292,0.04800761,0.04805084,0.02377754,0.8717167,0.0003532294],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.01084104,0.00713624,0.1215341,0.0006396478,0.0003448976,0.0008365812,0.4809636,0.3582399,0.01946402],"genre_scores_gemma":[0.03732553,0.003434197,0.1307058,0.0007089361,0.000115038,0.002022238,0.7979085,0.01812608,0.009653606],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.04772831,"threshold_uncertainty_score":0.1596671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850533572213791,"score_gpt":0.2719244087551382,"score_spread":0.2534190730330003,"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."}}