{"id":"W4221102080","doi":"10.1021/jacs.2c00670","title":"PhOxi-Seq: Single-Nucleotide Resolution Sequencing of <i>N</i> <sup>2</sup> -Methylation at Guanosine in RNA by Photoredox Catalysis","year":2022,"lang":"en","type":"article","venue":"Journal of the American Chemical Society","topic":"RNA modifications and cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Research, Innovation and Science; Canada Foundation for Innovation; York University","keywords":"Chemistry; RNA; Methylation; Guanosine; RNA methylation; Transfer RNA; Nucleotide; Deep sequencing; DNA methylation; Computational biology; DNA; Biochemistry; Gene; Genome; Biology; Methyltransferase; Gene expression","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":[0.0003667646,0.0001043934,0.0002291878,0.0000205755,0.0001122955,0.000007783735,0.0003335841,0.00004212982,0.00002088813],"category_scores_gemma":[0.00006225086,0.00008641231,0.0003693344,0.0004039194,0.0002205683,0.000008029124,0.0002124319,0.0002346781,2.490081e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005866237,"about_ca_system_score_gemma":0.0001047672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001659747,"about_ca_topic_score_gemma":0.000002644884,"domain_scores_codex":[0.998816,0.0001039909,0.0004257825,0.0001694535,0.0003189523,0.000165815],"domain_scores_gemma":[0.9988085,0.000024963,0.0007620103,0.0002606393,0.00009595465,0.00004793339],"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":[0.0001195907,0.00009474043,0.0008608347,0.000005730408,0.00006480879,3.495279e-7,0.0002267204,0.004347996,0.9806078,6.364396e-7,0.01274197,0.0009288124],"study_design_scores_gemma":[0.0003746474,0.0001355002,0.0001695886,0.000009973983,0.00004419514,0.00001935712,0.0008373283,0.001290398,0.9883787,0.0000201058,0.008619357,0.0001008294],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980606,0.0008606709,0.000205363,0.0006526043,0.00004332132,0.00006780544,0.0000383415,0.0000023178,0.00006894213],"genre_scores_gemma":[0.9983243,0.0002347431,0.0006772318,0.0004746531,0.000114354,0.000007848044,0.00003453886,0.00001518309,0.0001171515],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007770906,"threshold_uncertainty_score":0.3523792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01018503277998653,"score_gpt":0.2324356212612149,"score_spread":0.2222505884812284,"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."}}