{"id":"W2777103725","doi":"10.1016/j.str.2017.11.022","title":"DNA Sequence Recognition of Human CXXC Domains and Their Structural Determinants","year":2017,"lang":"en","type":"article","venue":"Structure","topic":"Genomics and Chromatin Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":86,"is_retracted":false,"has_abstract":false,"ca_institutions":"Structural Genomics Consortium; University of Toronto","funders":"Argonne National Laboratory; Eshelman Institute for Innovation, University of North Carolina at Chapel Hill; Biological and Environmental Research; Wellcome; Innovative Medicines Initiative; Novartis Pharma; Ontario Genomics Institute; Canada Foundation for Innovation; Ontario Ministry of Economic Development and Innovation; Wellcome Trust; Genome Canada; Fundação de Amparo à Pesquisa do Estado de São Paulo; Boehringer Ingelheim; AbbVie; Pfizer","keywords":"Biology; CpG site; DNA; Function (biology); Computational biology; Epigenetics; DNA sequencing; Chromatin; genomic DNA; Genetics; Gene; DNA methylation; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001117394,0.0001548093,0.0001735243,0.0001284301,0.0002296891,0.000236421,0.0001438349,0.0002635211,0.002764097],"category_scores_gemma":[0.0002783837,0.0001173324,0.0001293853,0.0001019356,0.0001884004,0.0001455217,0.0001643054,0.0003278146,0.0005363597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002874208,"about_ca_system_score_gemma":0.0002011213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001051145,"about_ca_topic_score_gemma":0.00194024,"domain_scores_codex":[0.9999169,0.00001675421,0.000004249906,0.00002613972,0.00001634064,0.00001959685],"domain_scores_gemma":[0.999828,0.00005170108,0.00003167068,0.00001272647,0.00001933681,0.00005659477],"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":[0.0002879765,0.00002565336,0.001243879,0.00003236876,0.00000472766,0.0001274604,0.00006311704,0.0002157994,0.9934575,0.001471678,0.0001055577,0.002964338],"study_design_scores_gemma":[0.00003615381,0.0002283815,0.03292564,0.00001886553,0.0000102157,0.0005948396,0.0000877724,0.003113069,0.9584711,0.0007170545,0.00378344,0.00001355423],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953567,0.0006614989,0.002350833,0.00009171744,0.00001813438,0.000009460391,0.0001027565,0.00002126608,0.001387603],"genre_scores_gemma":[0.9976256,0.00008580424,0.0007175553,0.00004109001,0.000008773132,0.000006187238,0.0001747067,0.000004885093,0.001335338],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002764097,"threshold_uncertainty_score":0.009246826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01310261658595185,"score_gpt":0.2658809279315067,"score_spread":0.2527783113455549,"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."}}