Predicting cytotoxicity of PAMAM dendrimers using molecular descriptors
نویسندگان
چکیده
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.
منابع مشابه
Cellular Delivery of Nanostructured Poly(amido amine) Dendrimers and Establishment of a Simple Methodology upon Ninhydrin Reaction
Dendrimer based nanostructures have been increasingly used for delivery of drugs/genes. These nanosystems, as non-viral gene delivery systems, were shown to have relatively high transfection efficiency despite exerting somewhat cytotoxicity. In this current investigation, poly(amido amine) (PAMAM) dendrimers, generation (G) zero to five, PEGylated PAMAM G3 and a new quaternized PAMAM G4 ...
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