Nanoinformatics Revolutionizes Personalized Cancer Therapy

Tamar Sadan, David P. Cormode, Rachela Popovtzer

Research output: Contribution to journalShort surveypeer-review

5 Scopus citations

Abstract

Designing personalized cancer nanomedicines is a challenging process. The emerging field of nanoinformatics can facilitate this process by enabling computational design of nanocarrier-encapsulated drugs. Recent data show that quantitative structure–nanoparticle assembly calculations predict particle formation and size, and can lead to safer and more effective personalized cancer therapeutics.

Original languageEnglish
Pages (from-to)397-399
Number of pages3
JournalTrends in Cancer
Volume4
Issue number6
DOIs
StatePublished - Jun 2018

Bibliographical note

Publisher Copyright:
© 2018 Elsevier Inc.

Keywords

  • caveolin-mediated endocytosis
  • machine learning
  • nanoinformatics
  • nanomedicine
  • tyrosine kinase inhibitors

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