Identifying features of genome evolution to exploit cancer vulnerabilities
- PMID: 34914903
- DOI: 10.1016/j.cels.2021.08.007
Identifying features of genome evolution to exploit cancer vulnerabilities
Abstract
Cancer treatment strategies include exploiting genetic vulnerabilities offered by synthetic lethal (SL) interactions between paralogs. In this issue of Cell Systems, De Kegel et al. (2021) apply a machine learning approach to predict robust SL paralogs in the human genome, highlighting genome evolutionary features as key predictors.
Copyright © 2021 Elsevier Inc. All rights reserved.
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Comprehensive prediction of robust synthetic lethality between paralog pairs in cancer cell lines.Cell Syst. 2021 Dec 15;12(12):1144-1159.e6. doi: 10.1016/j.cels.2021.08.006. Epub 2021 Sep 15. Cell Syst. 2021. PMID: 34529928
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