Evaluation of nanoarchaeosomal paclitaxel effect on MCF-7 cell line and prediction of Released Paclitaxel of Nanoarchaeosomal Formulation by Artificial Neural Network

Aim and Carriers have made a big evolution in the treatment of many diseases in recent years. Lipid carriers are of special importance among carriers. Archaeosome is one of the lipid carriers. In this study, paclitaxel was archaeosomed to reduce side effects and improve its therapeutic index. In order to prepare nanoarchaeosomal paclitaxel, Archaeosomes are synthesized with a certain ratio of paclitaxel in PBS. The mean diameter of archaeosomal paclitaxel was calculated by Zeta sizer. Encapsulation efficiency of the prepared formulation was calculated by spectrophotometry. Cytotoxicity effect was determined by MTT method. Drug release pattern was determined by dialysis in 26 hours. Using artificial neural network, amount of released nanoarchaeosomal drug was predicted accurately. In this method, the release was predicted by 4 layers and 20 neurons in hidden layers. The mean diameter of archaeosomal paclitaxel was found to be about 521.4 nm. Encapsulation efficiency of the prepared formulation was 99.1±0.21. Drug releasing of archaeosomal paclitaxel was 0.149% within 26 hours. Predicted values of release for nanoarchaeosomal paclitaxel have had R= 0.99716 and MSE=4.01 × 10-13. The used model demonstrated that artificial neural network technique can predicts the amount of release with high precision. Also it is possible to predict released amount of other drugs by this model. Although drug release has special pattern which should be considered.