Predicting synthetic lethal interactions using conserved patterns in protein interaction networks.
In response to a need for improved treatments, a number of promising novel targeted cancer therapies are being developed that exploit human synthetic lethal interactions. This is facilitating personalised medicine strategies in cancers where specific tumour suppressors have become inactivated. Mainl...
| Principais autores: | , , , , , |
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| Formato: | Artigo |
| Idioma: | English |
| Publicado em: |
Public Library of Science (PLoS)
2019-04-01
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| coleção: | PLoS Computational Biology |
| Acesso em linha: | http://europepmc.org/articles/PMC6488098?pdf=render |