Nanoinformatics Revolutionizes Personalized Cancer Therapy

Tamar Sadan; David P. Cormode; Rachela Popovtzer

doi:https://doi.org/10.1016/j.trecan.2018.04.002

Nanoinformatics Revolutionizes Personalized Cancer Therapy

Tamar Sadan, David P. Cormode, Rachela Popovtzer

Bar-Ilan University

Research output: Contribution to journal › Short survey › peer-review

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 language	English
Pages (from-to)	397-399
Number of pages	3
Journal	TRENDS IN CANCER
Volume	4
Issue number	6
DOIs	https://doi.org/10.1016/j.trecan.2018.04.002
State	Published - Jun 2018

Keywords

caveolin-mediated endocytosis
machine learning
nanoinformatics
nanomedicine
tyrosine kinase inhibitors

All Science Journal Classification (ASJC) codes

Oncology
Cancer Research

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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https://doi.org/10.1016/j.trecan.2018.04.002

Cite this

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title = "Nanoinformatics Revolutionizes Personalized Cancer Therapy",

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",

author = "Tamar Sadan and Cormode, {David P.} and Rachela Popovtzer",

note = "Publisher Copyright: {\textcopyright} 2018 Elsevier Inc.",

year = "2018",

month = jun,

doi = "https://doi.org/10.1016/j.trecan.2018.04.002",

language = "الإنجليزيّة",

volume = "4",

pages = "397--399",

journal = "TRENDS IN CANCER",

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T1 - Nanoinformatics Revolutionizes Personalized Cancer Therapy

AU - Sadan, Tamar

AU - Cormode, David P.

AU - Popovtzer, Rachela

PY - 2018/6

Y1 - 2018/6

N2 - 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.

AB - 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.

KW - caveolin-mediated endocytosis

KW - machine learning

KW - nanoinformatics

KW - nanomedicine

KW - tyrosine kinase inhibitors

UR - http://www.scopus.com/inward/record.url?scp=85046163989&partnerID=8YFLogxK

U2 - https://doi.org/10.1016/j.trecan.2018.04.002

DO - https://doi.org/10.1016/j.trecan.2018.04.002

M3 - عرض مختصر

C2 - 29860981

SN - 2405-8033

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SP - 397

EP - 399

JO - TRENDS IN CANCER

JF - TRENDS IN CANCER

IS - 6

ER -

Nanoinformatics Revolutionizes Personalized Cancer Therapy

Abstract

Keywords

All Science Journal Classification (ASJC) codes

UN SDGs

Access to Document

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