Abstract
Combined experimental and computational studies of lipid membranes and liposomes, with the aim to attain mechanistic understanding, result in a synergy that makes possible the rational design of liposomal drug delivery system (LDS) based therapies. The LDS is the leading form of nanoscale drug delivery platform, an avenue in drug research, known as “nanomedicine”, that holds the promise to transcend the current paradigm of drug development that has led to diminishing returns. Unfortunately this field of research has, so far, been far more successful in generating publications than new drug therapies. This partly results from the trial and error based methodologies used. We discuss experimental techniques capable of obtaining mechanistic insight into LDS structure and behavior. Insight obtained purely experimentally is, however, limited; computational modeling using molecular dynamics simulation can provide insight not otherwise available. We review computational research, that makes use of the multiscale modeling paradigm, simulating the phospholipid membrane with all atom resolution and the entire liposome with coarse grained models. We discuss in greater detail the computational modeling of liposome PEGylation. Overall, we wish to convey the power that lies in the combined use of experimental and computational methodologies; we hope to provide a roadmap for the rational design of LDS based therapies. Computational modeling is able to provide mechanistic insight that explains the context of experimental results and can also take the lead and inspire new directions for experimental research into LDS development. This article is part of a Special Issue entitled: Biosimulations edited by Ilpo Vattulainen and Tomasz Róg.
| Original language | English |
|---|---|
| Pages (from-to) | 2334-2352 |
| Number of pages | 19 |
| Journal | Biochimica et Biophysica Acta - Biomembranes |
| Volume | 1858 |
| Issue number | 10 |
| DOIs | |
| Publication status | Published - 1 Oct 2016 |
| Externally published | Yes |
| MoE publication type | A1 Journal article-refereed |
Funding
We wish to thank the Finnish Cultural Foundation (A.M.), Magnus Ehrenrooth Foundation (A.B. and A.M.), Emil Aaltonen Foundation (A.B.), CIMO (A.B.) and Academy of Finland (A.B. and T.V.) for funding our research. All work discussed in this review has been performed using the supercomputing resources of the CSC-IT Center for Science Ltd. (CSC). We thank Tomasz Róg for fruitful discussions, ACS Nano for permission to use their image and Markus Deserno for assistance in using it.
Keywords
- Drug delivery
- Label-free analytics
- Liposome
- Molecular dynamics simulation
- Nanomedicine
- PEGylation