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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.

Authors

V.C. Epa

Jing Yang

Ying Mei

Andrew L. Hook

Robert Langer

Daniel G. Anderson

Martyn C. Davies

Morgan R. Alexander Morgan.Alexander@nottingham.ac.uk

David A. Winkler

Abstract

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.

Journal Article Type Article
Publication Date Aug 24, 2012
Journal Journal of Materials Chemistry
Print ISSN 0959-9428
Electronic ISSN 1364-5501
Publisher Royal Society of Chemistry
Peer Reviewed Peer Reviewed
Volume 39
Issue 22
Institution Citation Epa, V., Yang, J., Mei, Y., Hook, A. L., Langer, R., Anderson, D. G., …Winkler, D. A. (2012). Modelling human embryoid body cell adhesion to a combinatorial library of polymer surfaces. Journal of Materials Chemistry, 39(22), doi:10.1039/C2JM34782B
DOI https://doi.org/10.1039/C2JM34782B
Publisher URL http://pubs.rsc.org/en/Content/ArticleLanding/2012/JM/c2jm34782b#!divAbstract
Copyright Statement Copyright information regarding this work can be found at the following address: http://eprints.nottingh.../end_user_agreement.pdf

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Copyright Statement
Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf



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