Nanoinformatics in Drug Delivery

Hagit Sason, Yosi Shamay

Research output: Contribution to journalReview articlepeer-review

Abstract

The use of nanomedicine for targeted drug delivery, though well established, is still a growing and developing field of research with potential benefits to many biomedical problems. There is a plethora of nano-carriers with myriads of designs of shapes, sizes and composition that involves complex, trial and error based preparation protocols. The digital age brought an information revolution with automated data analysis, machine learning and data mining applied to almost every field of research including drug delivery. Indeed, nanomedicine has benefitted from the use of data science and information science to optimize, standardize, and understand the synthesis, characterization, and biological effects of nanomaterials. This short review will describe several concepts and a few examples of nanoinformatics, including Nano-Quantitative Structure-Activity Relationship (Nano-QSAR), the use of computational methods for predicting different properties of nanomedicine in drug delivery and propose an outlook for the future.

Original languageEnglish
Pages (from-to)1108-1117
Number of pages10
JournalIsrael Journal of Chemistry
Volume60
Issue number12
DOIs
StatePublished - Dec 2020

Keywords

  • Data mining
  • Machine Learning
  • Nanoinformatics
  • Nanomedicine
  • nano-QSAR

All Science Journal Classification (ASJC) codes

  • General Chemistry

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