Nanoinformatics Revolutionizes Personalized Cancer Therapy

Trends Cancer. 2018 Jun;4(6):397-399. doi: 10.1016/j.trecan.2018.04.002. Epub 2018 Apr 25.

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.

Keywords: caveolin-mediated endocytosis; machine learning; nanoinformatics; nanomedicine; tyrosine kinase inhibitors.

Publication types

  • Comment

MeSH terms

  • Humans
  • Nanomedicine*
  • Nanoparticles
  • Neoplasms*