{"id":"W3004119070","doi":"10.1021/acschembio.9b00748","title":"Targeting Cavity-Creating p53 Cancer Mutations with Small-Molecule Stabilizers: the Y220X Paradigm","year":2020,"lang":"en","type":"article","venue":"ACS Chemical Biology","topic":"Cancer-related Molecular Pathways","field":"Medicine","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Medical Research Council; Ministero dello Sviluppo Economico; Deutsche Forschungsgemeinschaft; Worldwide Cancer Research; Ontario Ministry of Economic Development and Innovation; Novartis Pharma; Ontario Genomics Institute; European Federation of Pharmaceutical Industries and Associations; Wellcome Trust; Genome Canada; Fundação de Amparo à Pesquisa do Estado de São Paulo; Diamond Light Source; Ontario Genomics; Pfizer","keywords":"Mutant; Druggability; Small molecule; Mutation; Thermolabile; Cancer cell; Biology; Chemistry; Cell biology; Biophysics; Cancer; Biochemistry; Genetics; Gene; Enzyme","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002313299,0.0003565576,0.0003343092,0.0001397625,0.0001603469,0.0003532894,0.0003586318,0.0003451825,0.0007676661],"category_scores_gemma":[0.0001314243,0.0001751941,0.0002710339,0.0000821671,0.0003488054,0.000324327,0.0003103533,0.0006634836,0.0002541111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002471527,"about_ca_system_score_gemma":0.0001747738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000378508,"about_ca_topic_score_gemma":0.0004950605,"domain_scores_codex":[0.9999341,0.00001105912,0.000003685994,0.00001457956,0.00001741822,0.0000191222],"domain_scores_gemma":[0.999952,0.000009928453,0.00001517741,0.000005490574,0.000007528697,0.00001001008],"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":[0.0002566079,0.0001449776,0.0001743339,0.000140168,0.00002522555,0.0002148036,0.00006456017,0.002182658,0.9740872,0.003524448,0.0003495846,0.01883546],"study_design_scores_gemma":[0.0003631665,0.003670145,0.0006892562,0.00001879258,0.00004424323,0.0009048454,0.00003566729,0.006552994,0.9679376,0.001072455,0.01867678,0.00003419344],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9422233,0.01293944,0.03654493,0.0007937224,0.0001207524,0.0002965092,0.0001753532,0.0004298547,0.006476298],"genre_scores_gemma":[0.9762164,0.006876145,0.01328907,0.0002851667,0.00002976451,0.0001682806,0.0001168306,0.0000455986,0.002972678],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007676661,"threshold_uncertainty_score":0.002568126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02494880315698234,"score_gpt":0.2725356219552676,"score_spread":0.2475868187982853,"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."}}