{"id":"W4412707885","doi":"10.1038/s41587-025-02733-6","title":"A resource of RNA-binding protein motifs across eukaryotes reveals evolutionary dynamics and gene-regulatory function","year":2025,"lang":"en","type":"article","venue":"Nature Biotechnology","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vector Institute; Ontario Institute for Cancer Research; University of Toronto","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Institute of Allergy and Infectious Diseases; National Science Foundation; Canadian Institutes of Health Research; Mitacs; University of Toronto; National Cancer Institute; National Institutes of Health; U.S. Department of Health and Human Services; Government of Canada; Cincinnati Children's Hospital Medical Center; National Human Genome Research Institute","keywords":"Function (biology); Gene; Biology; Computational biology; RNA; Dynamics (music); Regulation of gene expression; Evolutionary biology; RNA-binding protein; Evolutionary dynamics; Genetics","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":[0.0005454219,0.0005709262,0.0007234776,0.002805584,0.0005315955,0.0005739904,0.0005623046,0.0004033198,0.00208452],"category_scores_gemma":[0.001945556,0.0004099964,0.0004536203,0.00283117,0.0001843186,0.0008576559,0.0009950873,0.0005128696,0.001243377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002323239,"about_ca_system_score_gemma":0.0003836317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009837759,"about_ca_topic_score_gemma":0.002375791,"domain_scores_codex":[0.9996811,0.00005558435,0.00002996947,0.0001378617,0.00006867339,0.00002693624],"domain_scores_gemma":[0.9990085,0.0004252672,0.0001765486,0.0001789664,0.0000741169,0.0001367547],"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":[0.002404903,0.0001851202,0.08603791,0.00178301,0.000482035,0.001143582,0.0005536375,0.0121746,0.6884749,0.002999299,0.009120639,0.1946404],"study_design_scores_gemma":[0.0002598518,0.0009266922,0.4395342,0.000669267,0.0008524683,0.006025489,0.000777666,0.09945087,0.2804605,0.01403791,0.1566555,0.0003496155],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8487062,0.005093038,0.05150919,0.0002235239,0.00002517105,0.00004524568,0.08659601,0.004945698,0.002855948],"genre_scores_gemma":[0.7278616,0.00259764,0.1233388,0.0001314018,0.0000329879,0.0001139822,0.1436215,0.0009532445,0.001348826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002805584,"threshold_uncertainty_score":0.006973445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003378546092103156,"score_gpt":0.2270899559196916,"score_spread":0.2237114098275884,"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."}}