Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2013 Jul 24:2:340.
doi: 10.1186/2193-1801-2-340. eCollection 2013.

Modeling and prediction of cytotoxicity of artemisinin for treatment of the breast cancer by using artificial neural networks

Abdolhossein Qaderi  1 , Neda Dadgar, Hamidreza Mansouri, Seyed Ebrahim Alavi, Maedeh Koohi Moftakhari Esfahani, Azim Akbarzadeh
Affiliations

Modeling and prediction of cytotoxicity of artemisinin for treatment of the breast cancer by using artificial neural networks

Abdolhossein Qaderi et al. Springerplus. .

Abstract

While artemisinin is known as anticancer medication with favorable remedial effects, its side effects must not be neglected. In order to reduce such side effects and increase artemisinin therapeutic index, nano technology has been considered as a new approach. Liposome preparation is supposed to be one of the new methods of drug delivery. To prepare the desired nanoliposome, certain proportions of phosphatidylcholine, cholesterol and artemisinin are mixed together. Besides, in order to achieve more stability, the formulation was pegylated by polyethylene glycol 2000 (PEG 2000). Mean diameter of nanoliposomes was determined by means of Zeta sizer. Encapsulation was calculated 96.02% in nanoliposomal and 91.62% in pegylated formulation. Compared to pegylated formulation, the percent of released drug in nanoliposomal formulation was more. In addition, this study reveals that cytotoxicity effect of pegylated nanoliposomal artemisinin was more than nanoliposomal artemisinin. Since artificial neural network shows high possibility of nonlinear modulation, it is used to predict cytotoxicity effect in this study, which can precisely indicate the cytotoxicity and IC50 of anticancer drugs.

Keywords: Artemisinin; Cytotoxicity; Nanoliposome; Neural network.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Laboratory data for cytotoxicity of nanoliposomal artemisinin and pegylated nanoliposomal artemisinin for breast cancer treatment.
Figure 2
Figure 2
Experimental vs predicted cytotoxicity for validation data of nanoliposomal drug.
Figure 3
Figure 3
Experimental vs predicted cytotoxicity for validation data of pegylated nanoliposomal drug.
See this image and copyright information in PMC

Similar articles

See all similar articles

Cited by

References

    1. Arab Chamjangali M, Beglari M, Bagherian G. Prediction of cytotoxicity data (CC(50)) of anti-HIV 5-phenyl-1-phenylamino-1H-imidazole derivatives by artificial neural netcwork trained with Levenberg-Marquardt algorithm. J Mol Graph Model. 2007;26:360–367. doi: 10.1016/j.jmgm.2007.01.005. - DOI - PubMed
    1. Arbib M. The handbook of brain theory and neural networks. Cambridge: MIT Press; 2002.
    1. Chadwick J, Mercer AE, Park BK, Cosstick R, O'Neill PM. Synthesis and biological evaluation of extraordinarily potent C-10 carba artemisinin dimers against P. falciparum malaria parasites and HL-60 cancer cells. Bioorg Med Chem. 2009;17:1325–1338. doi: 10.1016/j.bmc.2008.12.017. - DOI - PubMed
    1. Chen H, Sun B, Pan S, Jiang H, Sun X. Dihydroartemisinin inhibits growth of pancreatic cancer cells in vitro and in vivo. Anticancer Drugs. 2009;20:131–140. doi: 10.1097/CAD.0b013e3283212ade. - DOI - PubMed
    1. Feng AS, Ratnam R. Neural basis of hearing in real-world situations. Annu Rev Psychol. 2000;51:699–725. doi: 10.1146/annurev.psych.51.1.699. - DOI - PubMed

LinkOut - more resources