Modelling human embryoid body cell adhesion to a combinatorial library of polymer surfaces
Designing materials to control biology is an intense focus of biomaterials and regenerative medicine research. Discovering and designing materials with appropriate biological compatibility or active control of cells and tissues is being increasingly undertaken using high throughput synthesis and as...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
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Royal Society of Chemistry
2012
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| Online Access: | https://eprints.nottingham.ac.uk/30872/ |
| _version_ | 1848794080517029888 |
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| author | Epa, V.C. Yang, Jing Mei, Ying Hook, Andrew L. Langer, Robert Anderson, Daniel G. Davies, Martyn C. Alexander, Morgan R. Winkler, David A. |
| author_facet | Epa, V.C. Yang, Jing Mei, Ying Hook, Andrew L. Langer, Robert Anderson, Daniel G. Davies, Martyn C. Alexander, Morgan R. Winkler, David A. |
| author_sort | Epa, V.C. |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | Designing materials to control biology is an intense focus of biomaterials and regenerative medicine research. Discovering and designing materials with appropriate biological compatibility or active control of cells and tissues is being increasingly undertaken using high
throughput synthesis and assessment methods. We report a relatively simple but powerful machine-learning method of generating modelsthat link microscopic or molecular properties of polymers or other materials to their biological effects. We illustrate the potential of these methods by developing the first robust, predictive, quantitative, and purely computational models of adhesion of human embryonic stem cell embryoid bodies (hEB) to the surfaces of 496-member polymers. |
| first_indexed | 2025-11-14T19:10:30Z |
| format | Article |
| id | nottingham-30872 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T19:10:30Z |
| publishDate | 2012 |
| publisher | Royal Society of Chemistry |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-308722020-05-04T16:33:46Z https://eprints.nottingham.ac.uk/30872/ Modelling human embryoid body cell adhesion to a combinatorial library of polymer surfaces Epa, V.C. Yang, Jing Mei, Ying Hook, Andrew L. Langer, Robert Anderson, Daniel G. Davies, Martyn C. Alexander, Morgan R. Winkler, David A. Designing materials to control biology is an intense focus of biomaterials and regenerative medicine research. Discovering and designing materials with appropriate biological compatibility or active control of cells and tissues is being increasingly undertaken using high throughput synthesis and assessment methods. We report a relatively simple but powerful machine-learning method of generating modelsthat link microscopic or molecular properties of polymers or other materials to their biological effects. We illustrate the potential of these methods by developing the first robust, predictive, quantitative, and purely computational models of adhesion of human embryonic stem cell embryoid bodies (hEB) to the surfaces of 496-member polymers. Royal Society of Chemistry 2012-08-24 Article PeerReviewed Epa, V.C., Yang, Jing, Mei, Ying, Hook, Andrew L., Langer, Robert, Anderson, Daniel G., Davies, Martyn C., Alexander, Morgan R. and Winkler, David A. (2012) Modelling human embryoid body cell adhesion to a combinatorial library of polymer surfaces. Journal of Materials Chemistry, 39 (22). pp. 20902-20906. ISSN 1364-5501 http://pubs.rsc.org/en/Content/ArticleLanding/2012/JM/c2jm34782b#!divAbstract doi:10.1039/C2JM34782B doi:10.1039/C2JM34782B |
| spellingShingle | Epa, V.C. Yang, Jing Mei, Ying Hook, Andrew L. Langer, Robert Anderson, Daniel G. Davies, Martyn C. Alexander, Morgan R. Winkler, David A. Modelling human embryoid body cell adhesion to a combinatorial library of polymer surfaces |
| title | Modelling human embryoid body cell adhesion to a combinatorial library of polymer surfaces |
| title_full | Modelling human embryoid body cell adhesion to a combinatorial library of polymer surfaces |
| title_fullStr | Modelling human embryoid body cell adhesion to a combinatorial library of polymer surfaces |
| title_full_unstemmed | Modelling human embryoid body cell adhesion to a combinatorial library of polymer surfaces |
| title_short | Modelling human embryoid body cell adhesion to a combinatorial library of polymer surfaces |
| title_sort | modelling human embryoid body cell adhesion to a combinatorial library of polymer surfaces |
| url | https://eprints.nottingham.ac.uk/30872/ https://eprints.nottingham.ac.uk/30872/ https://eprints.nottingham.ac.uk/30872/ |