Modelling packing arrangements of doxorubicin in liposomal molecules
© 2016 American Scientific Publishers All rights reserved. Targetted drug delivery is currently an important topic in bio-nanotechnology research. However, at present an improved understanding of the underlying mechanisms is required to provide accurate and effective drug transportation in humans. I...
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th-mahidol.434302019-03-14T15:04:30Z Modelling packing arrangements of doxorubicin in liposomal molecules Kanes Sumetpipat Duangkamon Baowan James M. Hill Mahidol University South Carolina Commission on Higher Education University of South Australia Chemistry Engineering Materials Science Mathematics © 2016 American Scientific Publishers All rights reserved. Targetted drug delivery is currently an important topic in bio-nanotechnology research. However, at present an improved understanding of the underlying mechanisms is required to provide accurate and effective drug transportation in humans. In particular, to increase the blood-circulation time and to increase the interacting surface area between the drugs and the targeted cells. The study here focuses on determining the optimal location for a drug encapsulated in a nanocarrier in order to enhance the blood-circulation time. To illustrate the modelling, the anti-cancer drug Doxorubicin is adopted and liposome is assumed to be the nanocapsule. The Doxorubicin molecule is modelled as a sphere, which is assumed to be encapsulated in a spherical liposome of radius 50 nm, and the model consists of three systems, depending on the number of identical Doxorubicin molecules inside the liposome; one, two or three. In all cases, we determine the offset positions of the Doxorubicin from the centre of the liposomes, and also the angle between any two Doxorubicin molecules. Our findings predict the most stable configuration of a particular drug encapsulated in a capsule, and will prove useful as a guide in the design of other drug delivery systems involving small drug molecules inside a nanocapsule. 2018-12-11T02:36:46Z 2019-03-14T08:04:30Z 2018-12-11T02:36:46Z 2019-03-14T08:04:30Z 2016-01-01 Article Journal of Computational and Theoretical Nanoscience. Vol.13, No.11 (2016), 8241-8248 10.1166/jctn.2016.5963 15461963 15461955 2-s2.0-85015197122 https://repository.li.mahidol.ac.th/handle/123456789/43430 Mahidol University SCOPUS https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85015197122&origin=inward |
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Chemistry Engineering Materials Science Mathematics Kanes Sumetpipat Duangkamon Baowan James M. Hill Modelling packing arrangements of doxorubicin in liposomal molecules |
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© 2016 American Scientific Publishers All rights reserved. Targetted drug delivery is currently an important topic in bio-nanotechnology research. However, at present an improved understanding of the underlying mechanisms is required to provide accurate and effective drug transportation in humans. In particular, to increase the blood-circulation time and to increase the interacting surface area between the drugs and the targeted cells. The study here focuses on determining the optimal location for a drug encapsulated in a nanocarrier in order to enhance the blood-circulation time. To illustrate the modelling, the anti-cancer drug Doxorubicin is adopted and liposome is assumed to be the nanocapsule. The Doxorubicin molecule is modelled as a sphere, which is assumed to be encapsulated in a spherical liposome of radius 50 nm, and the model consists of three systems, depending on the number of identical Doxorubicin molecules inside the liposome; one, two or three. In all cases, we determine the offset positions of the Doxorubicin from the centre of the liposomes, and also the angle between any two Doxorubicin molecules. Our findings predict the most stable configuration of a particular drug encapsulated in a capsule, and will prove useful as a guide in the design of other drug delivery systems involving small drug molecules inside a nanocapsule. |
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Mahidol University |
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Mahidol University Kanes Sumetpipat Duangkamon Baowan James M. Hill |
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Article |
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Kanes Sumetpipat Duangkamon Baowan James M. Hill |
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Kanes Sumetpipat |
title |
Modelling packing arrangements of doxorubicin in liposomal molecules |
title_short |
Modelling packing arrangements of doxorubicin in liposomal molecules |
title_full |
Modelling packing arrangements of doxorubicin in liposomal molecules |
title_fullStr |
Modelling packing arrangements of doxorubicin in liposomal molecules |
title_full_unstemmed |
Modelling packing arrangements of doxorubicin in liposomal molecules |
title_sort |
modelling packing arrangements of doxorubicin in liposomal molecules |
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2018 |
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https://repository.li.mahidol.ac.th/handle/123456789/43430 |
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