Browse DORAS
Browse Theses
Latest Additions
Creative Commons License
Except where otherwise noted, content on this site is licensed for use under a:

3D multi-agent models for protein release from PLGA spherical particles with complex inner morphologies

Barat, Ana and Ruskin, Heather J. and Crane, Martin (2008) 3D multi-agent models for protein release from PLGA spherical particles with complex inner morphologies. Theory in Biosciences - Theorie in den Biowissenschaften, 127 (2). pp. 95-105. ISSN 1611-7530

Full text available as:

PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader


In order to better understand and predict the release of proteins from bioerodible micro- or nanospheres, it is important to know the influences of different initial factors on the release mechanisms. Often though it is difficult to assess what exactly is at the origin of a certain dissolution profile. We propose here a new class of fine-grained multi-agent models built to incorporate increasing complexity, permitting the exploration of the role of different parameters, especially that of the internal morphology of the spheres, in the exhibited release profile. This approach, based on Monte-Carlo (MC) and Cellular Automata (CA) techniques, has permitted the testing of various assumptions and hypotheses about several experimental systems of nanospheres encapsulating proteins. Results have confirmed that this modelling approach has increased the resolution over the complexity involved, opening promising perspectives for future developments, especially complementing in vitro experimentation.

Item Type:Article (Published)
Additional Information:The original publication is available at
Uncontrolled Keywords:drug delivery; drug release; PLGA; protein; microspheres; nanospheres; modelling; simulation; Monte Carlo; cellular automata;
Subjects:Mathematics > Mathematical models
Mathematics > Probabilities
Mathematics > Numerical analysis
Medical Sciences > Biomechanics
Physical Sciences > Statistical physics
Computer Science > Computer simulation
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Publisher:Springer Berlin / Heidelberg
Official URL:
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:National Institute for Cellular Biotechnology (NICB)/PRTLI
ID Code:14980
Deposited On:02 Nov 2009 11:20 by Martin Crane. Last Modified 02 Nov 2009 11:20

Download statistics

Archive Staff Only: edit this record