{"id":"W2318089244","doi":"10.1021/ja208999e","title":"Structure-Based Design of a Potent Artificial Transactivation Domain Based on p53","year":2011,"lang":"en","type":"article","venue":"Journal of the American Chemical Society","topic":"RNA Interference and Gene Delivery","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Transactivation; Chemistry; Computational biology; Peptide; Activator (genetics); Protein design; Rational design; P53 protein; Biochemistry; Cell biology; Transcription factor; Gene; Protein structure; Genetics; Biology","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":[0.0001531981,0.000269428,0.000242322,0.0001268944,0.0001484394,0.0002941946,0.0002758293,0.0003094179,0.0004947176],"category_scores_gemma":[0.0001810621,0.0001733123,0.0002702938,0.0001224376,0.0002125318,0.0002328035,0.000192264,0.0004793729,0.0003339114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003136431,"about_ca_system_score_gemma":0.0001907855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001510527,"about_ca_topic_score_gemma":0.000207806,"domain_scores_codex":[0.9999144,0.00002082521,0.00001104884,0.00001592166,0.00002293978,0.00001485033],"domain_scores_gemma":[0.999916,0.00001500919,0.00002640296,0.000008721848,0.0000109781,0.00002283113],"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":[0.00007460031,0.00003216157,0.00007295828,0.00003140525,0.000005614243,0.00007478787,0.00001168646,0.001540905,0.9964307,0.0003310705,0.00002587974,0.00136833],"study_design_scores_gemma":[0.00005757383,0.0004978569,0.0003455835,0.000005617164,0.00001589756,0.0001880655,0.00001148262,0.004650827,0.9906939,0.00008204825,0.003443825,0.000007215678],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9770957,0.0009252339,0.02001756,0.000123915,0.0000369601,0.00009994362,0.0001141286,0.0000794373,0.001507097],"genre_scores_gemma":[0.9794414,0.0007375903,0.01815214,0.00006956972,0.000009032777,0.00006498869,0.0002365403,0.0000214644,0.001267239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004947176,"threshold_uncertainty_score":0.002275646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01968837052606997,"score_gpt":0.2319237185088756,"score_spread":0.2122353479828057,"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."}}