{"id":"W2128888675","doi":"10.2144/000112901","title":"Design of a Single Plasmid-Based Modified Yeast One-Hybrid System for Investigation of in Vivo Protein-Protein and Protein-DNA Interactions","year":2008,"lang":"en","type":"article","venue":"BioTechniques","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institute of General Medical Sciences; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; University of Toronto","keywords":"Fusion protein; Two-hybrid screening; Biology; Plasmid; DDB1; DNA; Molecular biology; Protein–protein interaction; In vivo; Retinoblastoma-like protein 1; Gene; Reporter gene; GATAD2B; Cell biology; Gene expression; DNA-binding protein; Biochemistry; Recombinant DNA; Genetics; Transcription factor; Repressor","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":[0.0005799485,0.0005179933,0.0008972261,0.0003837404,0.0002029239,0.0005646804,0.001023777,0.0005597875,0.00128697],"category_scores_gemma":[0.0002322074,0.0004522464,0.0003660683,0.0002470658,0.0003116424,0.0003614539,0.0003961888,0.001155944,0.001194791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005049204,"about_ca_system_score_gemma":0.0002365802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003850422,"about_ca_topic_score_gemma":0.0006381989,"domain_scores_codex":[0.9996493,0.00005936545,0.00003330869,0.0001170036,0.0001081881,0.00003275728],"domain_scores_gemma":[0.9997867,0.00005577305,0.00004919477,0.00003621235,0.00002813148,0.00004395565],"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":[0.00004787123,0.00002548136,0.00007288737,0.00004345746,0.000007271577,0.00002539572,0.00001210752,0.000202992,0.9976738,0.0002790844,0.00005307141,0.001556491],"study_design_scores_gemma":[0.00002609167,0.000161567,0.0006458181,0.00000535865,0.00002635259,0.0001463545,0.00001123999,0.004847592,0.9883068,0.0001208955,0.005683227,0.00001877394],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5984978,0.002310319,0.3895104,0.00053322,0.0002235992,0.001039434,0.002922871,0.002147333,0.00281507],"genre_scores_gemma":[0.6891888,0.001864685,0.2936708,0.0002143436,0.00005028602,0.001506794,0.004215764,0.0003824569,0.008906015],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.00128697,"threshold_uncertainty_score":0.004305363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03021822175563036,"score_gpt":0.2690320445616162,"score_spread":0.2388138228059859,"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."}}