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3D multi-agent models for protein release from PLGA spherical particles with complex inner morphologies
Barat, Ana; Ruskin, Heather J.; Crane, Martin
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.
Keyword(s): Mathematical models; Probabilities; Numerical analysis; Biomechanics; Statistical physics; Computer simulation; drug delivery; drug release; PLGA; protein; microspheres; nanospheres; modelling; simulation; Monte Carlo; cellular automata
Publication Date:
2008
Type: Other
Peer-Reviewed: Unknown
Language(s): English
Institution: Dublin City University
Citation(s): Barat, Ana, Ruskin, Heather J. ORCID: 0000-0001-7101-2242 <https://orcid.org/0000-0001-7101-2242> and Crane, Martin ORCID: 0000-0001-7598-3126 <https://orcid.org/0000-0001-7598-3126> (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
Publisher(s): Springer Berlin / Heidelberg
File Format(s): application/pdf
Related Link(s): http://doras.dcu.ie/14980/1/AnaThInBiosciences.pdf,
http://dx.doi.org/10.1007/s12064-008-0041-0
First Indexed: 2009-11-05 02:01:44 Last Updated: 2019-02-09 06:57:27