| Literature DB >> 27398083 |
Xiaojiao Yu1, Ian Trase1, Muqing Ren2, Kayla Duval1, Xing Guo1, Zi Chen1.
Abstract
Nanoparticles have shown promise as both drug delivery vehicles and direct antitumor systems, but they must be properly designed in order to maximize efficacy. Computational modeling is often used both to design new nanoparticles and to better understand existing ones. Modeled processes include the release of drugs at the tumor site and the physical interaction between the nanoparticle and cancer cells. In this article, we provide an overview of three different targeted drug delivery methods (passive targeting, active targeting and physical targeting), compare methods of action, advantages, limitations, and the current stage of research. For the most commonly used nanoparticle carriers, fabrication methods are also reviewed. This is followed by a review of computational simulations and models on nanoparticle-based drug delivery.Entities:
Keywords: cancer; multiscale modeling; nanoparticle design; self-assembly of nanoparticles; targeted drug delivery
Year: 2016 PMID: 27398083 PMCID: PMC4936496 DOI: 10.1155/2016/1087250
Source DB: PubMed Journal: J Nanomater ISSN: 1687-4129 Impact factor: 2.986