{"id":"W2978506302","doi":"10.1039/c9sc04151f","title":"Bifunctional ligand design for modulating mutant p53 aggregation in cancer","year":2019,"lang":"en","type":"article","venue":"Chemical Science","topic":"Cancer-related Molecular Pathways","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; Burnaby Hospital; Toronto Public Health; Simon Fraser University","funders":"National Cancer Institute; Centre National de la Recherche Scientifique; Université de Strasbourg; Institut National de la Santé et de la Recherche Médicale; Simon Fraser University; Michael Smith Health Research BC; Natural Sciences and Engineering Research Council of Canada; Association pour la Recherche sur le Cancer","keywords":"Bifunctional; Mutant; Ligand (biochemistry); Chemistry; Combinatorial chemistry; Biochemistry; Receptor; Gene","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":[0.0002886475,0.00006837299,0.0001112215,0.00007160214,0.00003687237,0.00001451812,0.00008245608,0.00005699124,0.00004688156],"category_scores_gemma":[0.0003107857,0.00005960256,0.00003231649,0.0005263558,0.0001167623,0.00009180781,0.00002713829,0.0001077271,0.00001345156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003876104,"about_ca_system_score_gemma":0.0003613738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003282651,"about_ca_topic_score_gemma":0.00000231695,"domain_scores_codex":[0.9990152,0.000004140061,0.000139511,0.0003071766,0.0002996761,0.0002343524],"domain_scores_gemma":[0.9995854,0.00005779567,0.00004432501,0.0001267571,0.00009691714,0.00008876682],"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":[0.00006499189,0.00002315722,0.001317627,0.0000190559,0.000002217274,0.000001274342,0.00006210409,0.001133015,0.9903637,0.00008790653,0.00003593295,0.006889087],"study_design_scores_gemma":[0.000888934,0.00005873392,0.001434569,0.0001609656,0.000007745087,0.00001110187,0.0000118276,0.07795731,0.9188229,0.0003289174,0.0002407491,0.00007622016],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917797,0.000141379,0.006602456,0.0003395634,0.0002305127,0.0004999259,0.000002637733,0.00002311079,0.0003807575],"genre_scores_gemma":[0.9957753,0.000007816067,0.003826764,0.0001738249,0.00007676957,0.00005344854,0.000003721849,0.000007861864,0.00007449431],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07682429,"threshold_uncertainty_score":0.2430522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03074595199217337,"score_gpt":0.2945593948948126,"score_spread":0.2638134429026393,"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."}}