Premium
Nanoinformatics in Drug Delivery
Author(s) -
Sason Hagit,
Shamay Yosi
Publication year - 2020
Publication title -
israel journal of chemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.908
H-Index - 54
eISSN - 1869-5868
pISSN - 0021-2148
DOI - 10.1002/ijch.201900042
Subject(s) - nanomedicine , drug delivery , field (mathematics) , nanotechnology , data science , quantitative structure–activity relationship , chemistry , risk analysis (engineering) , computer science , management science , engineering , machine learning , medicine , nanoparticle , materials science , mathematics , pure mathematics
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.