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National Institute of Environmental Health Sciences

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Publication Detail

Title: Predicting cytotoxicity of PAMAM dendrimers using molecular descriptors.

Authors: Jones, David E; Ghandehari, Hamidreza; Facelli, Julio C

Published In Beilstein J Nanotechnol, (2015)

Abstract: The use of data mining techniques in the field of nanomedicine has been very limited. In this paper we demonstrate that data mining techniques can be used for the development of predictive models of the cytotoxicity of poly(amido amine) (PAMAM) dendrimers using their chemical and structural properties. We present predictive models developed using 103 PAMAM dendrimer cytotoxicity values that were extracted from twelve cancer nanomedicine journal articles. The results indicate that data mining and machine learning can be effectively used to predict the cytotoxicity of PAMAM dendrimers on Caco-2 cells.

PubMed ID: 26665059 Exiting the NIEHS site

MeSH Terms: No MeSH terms associated with this publication

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