{"id":"W2789808439","doi":"10.1002/pep2.24048","title":"Peptide therapeutics that directly target transcription factors","year":2018,"lang":"en","type":"article","venue":"Peptide Science","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Transcription factor; Transcription (linguistics); Computational biology; Cell biology; Sp3 transcription factor; Biology; E-box; General transcription factor; TAF2; Promoter; Gene; Gene expression; Genetics; Enhancer","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":[0.0001951761,0.0004339632,0.0002748372,0.0002382794,0.0001163406,0.0002823475,0.0001992557,0.000416818,0.001673116],"category_scores_gemma":[0.0001541297,0.00007974841,0.0001682645,0.00016958,0.0002926727,0.000318676,0.0002487841,0.0006432888,0.0009936885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002553609,"about_ca_system_score_gemma":0.0001240563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001052521,"about_ca_topic_score_gemma":0.0001085277,"domain_scores_codex":[0.9998797,0.00002303404,0.000006963963,0.00002643294,0.00004836582,0.00001547303],"domain_scores_gemma":[0.9999495,0.00001624338,0.00001575795,0.000002841476,0.000008868193,0.000006938779],"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":[0.0001233694,0.00009764473,0.0001724682,0.001143507,0.00002612474,0.0004782066,0.00007485668,0.0008043317,0.8977185,0.01172753,0.002984194,0.08464927],"study_design_scores_gemma":[0.0001004697,0.001413165,0.000760599,0.0001672574,0.00005817048,0.002172839,0.00004325824,0.001316588,0.6973779,0.00400879,0.2925545,0.00002646962],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2554862,0.5353891,0.1043484,0.002777012,0.002761288,0.0004226367,0.0004904285,0.0006353662,0.0976895],"genre_scores_gemma":[0.7208262,0.2169935,0.02446245,0.001920009,0.0008472288,0.0003361524,0.0003780166,0.00008116291,0.03415519],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001673116,"threshold_uncertainty_score":0.005597115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03173192083556063,"score_gpt":0.278844542004213,"score_spread":0.2471126211686523,"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."}}