{"id":"W3049319010","doi":"10.1038/s41467-020-17958-z","title":"Enhancing chemotherapy response through augmented synthetic lethality by co-targeting nucleotide excision repair and cell-cycle checkpoints","year":2020,"lang":"en","type":"article","venue":"Nature Communications","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hamilton General Hospital","funders":"Division of Materials Research; National Institute of Biomedical Imaging and Bioengineering; National Institute of Environmental Health Sciences; Congressionally Directed Medical Research Programs; Breast Cancer Alliance; National Institute on Aging; Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology; Materials Research Science and Engineering Center, Harvard University; National Institute of General Medical Sciences; Ovarian Cancer Research Foundation; National Cancer Institute; U.S. Department of Health and Human Services; National Institutes of Health; National Science Foundation; U.S. Department of Defense","keywords":"Synthetic lethality; DNA damage; Cisplatin; Cancer research; DNA repair; CHEK1; Cell cycle checkpoint; Mutant; Biology; Cell cycle; Cell biology; DNA; Cell; Gene; Chemotherapy; Genetics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004649232,0.00017258,0.0001814693,0.00002090792,0.0003031122,0.00002669617,0.0003876787,0.0003007062,0.000003499932],"category_scores_gemma":[0.000506741,0.0001621854,0.0001143925,0.0001651595,0.0001849065,0.00001032437,0.0002560001,0.0004440381,0.000002542359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002291287,"about_ca_system_score_gemma":0.00002848888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000112109,"about_ca_topic_score_gemma":0.00001402518,"domain_scores_codex":[0.998678,0.0003443571,0.0002798556,0.0003947159,0.0001271143,0.0001759424],"domain_scores_gemma":[0.9985653,0.0001076789,0.0001526815,0.0009915719,0.0001016087,0.0000811429],"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":[0.0001929203,0.00006852862,0.0002172784,0.0000102859,0.00003276949,5.476675e-7,0.0001462456,7.693663e-7,0.9911109,0.00001189201,0.007845195,0.0003627005],"study_design_scores_gemma":[0.000250515,0.0000974691,0.0002501463,0.00002179436,0.0000244405,0.000002839088,0.0001960329,0.0002582947,0.8893234,0.00003746078,0.1093553,0.0001823951],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9782124,0.00706374,0.002854571,0.01060463,0.00002193596,0.0002607879,0.00006281802,0.0002163242,0.0007027707],"genre_scores_gemma":[0.9533227,0.002086668,0.04156015,0.002653254,0.00003959953,0.000008156067,0.0002323861,0.00002613851,0.00007093416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1017875,"threshold_uncertainty_score":0.661373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01150897347418881,"score_gpt":0.3097917736423879,"score_spread":0.298282800168199,"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."}}