{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002811938,0.0001539037,0.00009960736,0.00007384441,0.000268527,0.00008420872,0.0005052642,0.00007239454,0.00008792186],"category_scores_gemma":[0.00003492052,0.0001278186,0.00007954326,0.0002194383,0.0007607531,0.00002533942,0.00007170538,0.0000706176,0.00008669487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002131235,"about_ca_system_score_gemma":0.0001245051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000422845,"about_ca_topic_score_gemma":0.00007521971,"domain_scores_codex":[0.9987161,0.00002582337,0.0001333547,0.0004645557,0.000280911,0.0003792696],"domain_scores_gemma":[0.9992839,0.000006369874,0.00005569782,0.0003707387,0.0001806461,0.0001026649],"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":[0.00002133971,0.00002094604,0.009510226,0.000002264418,0.000009719513,5.230697e-7,0.0003315126,0.000004851245,0.9881833,0.00002841352,0.0008961128,0.000990819],"study_design_scores_gemma":[0.0001087153,0.0003397045,0.0221171,0.000009502296,0.000008292844,0.00000504659,0.0002742333,0.0001184332,0.9424549,0.0001294505,0.03424699,0.0001876436],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873657,0.0001753879,0.002293208,0.0001044901,0.0004759218,0.00009279948,0.00001193118,0.00002463687,0.009455889],"genre_scores_gemma":[0.9957263,0.00009986992,0.0008668558,0.0005764708,0.0002426165,0.000005601282,0.00001800644,0.0000121547,0.002452146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04572839,"threshold_uncertainty_score":0.5212293,"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."}}