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

Nanoinformatics Revolutionizes Personalized Cancer Therapy

Tamar Sadan  1 , David P Cormode  2 , Rachela Popovtzer  3
Affiliations
Comment

Nanoinformatics Revolutionizes Personalized Cancer Therapy

Tamar Sadan et al. Trends Cancer. 2018 Jun.

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.

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  • Quantitative self-assembly prediction yields targeted nanomedicines.
    Shamay Y, Shah J, Işık M, Mizrachi A, Leibold J, Tschaharganeh DF, Roxbury D, Budhathoki-Uprety J, Nawaly K, Sugarman JL, Baut E, Neiman MR, Dacek M, Ganesh KS, Johnson DC, Sridharan R, Chu EL, Rajasekhar VK, Lowe SW, Chodera JD, Heller DA. Shamay Y, et al. Nat Mater. 2018 Apr;17(4):361-368. doi: 10.1038/s41563-017-0007-z. Epub 2018 Feb 5. Nat Mater. 2018. PMID: 29403054 Free PMC article.

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