{"id":"W4411310169","doi":"10.1007/978-1-0716-4615-1_33","title":"SELEX (Systematic Evolution of Ligands by Exponential Enrichment) to Identify DNA Motifs Mirroring Chromosome Targets of the Hypothetical Transcription Factor NLRP3","year":2025,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Systematic evolution of ligands by exponential enrichment; Mirroring; Computational biology; Genetics; Transcription factor; DNA; Biology; Gene; Psychology; RNA","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0008275061,0.0007864675,0.0008724091,0.0005279562,0.0004231044,0.0008144823,0.0007332615,0.0003653991,0.001999993],"category_scores_gemma":[0.001213717,0.0002971996,0.0004942105,0.0006809313,0.000429051,0.0002721289,0.001161581,0.001141783,0.000809187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003315968,"about_ca_system_score_gemma":0.0004972865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006121192,"about_ca_topic_score_gemma":0.001444928,"domain_scores_codex":[0.9997262,0.00007948755,0.00002267388,0.00003931562,0.00009212438,0.00004013922],"domain_scores_gemma":[0.9995661,0.0002627811,0.00004208512,0.00004403254,0.00004717569,0.00003775574],"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":[0.001317993,0.0007519446,0.004495576,0.0005170124,0.0002875197,0.0007254981,0.0003980471,0.0306378,0.8667588,0.004870443,0.001855398,0.08738386],"study_design_scores_gemma":[0.0002525518,0.001060274,0.002792079,0.000042938,0.000153495,0.001005602,0.0003029164,0.1128758,0.8679972,0.001293912,0.01215619,0.00006710881],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8175676,0.0006083824,0.1739664,0.0002860024,0.00005237414,0.000378294,0.001214519,0.002220215,0.003706212],"genre_scores_gemma":[0.8400475,0.0007937382,0.1470279,0.0002907996,0.00000980559,0.0004533279,0.002807804,0.0005910489,0.007978098],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001999993,"threshold_uncertainty_score":0.006690681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01419354765897812,"score_gpt":0.3417485620340124,"score_spread":0.3275550143750343,"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."}}