Modelling human embryoid body cell adhesion to a combinatorial library of polymer surfaces

Epa, V.C. and Yang, Jing and Mei, Ying and Hook, Andrew L. and Langer, Robert and Anderson, Daniel G. and Davies, Martyn C. and 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

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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.

Item Type: Article
RIS ID: https://nottingham-repository.worktribe.com/output/710869
Schools/Departments: University of Nottingham, UK > Faculty of Science > School of Pharmacy
Identification Number: https://doi.org/10.1039/C2JM34782B
Depositing User: Alexander, Morgan
Date Deposited: 20 Nov 2015 13:35
Last Modified: 04 May 2020 16:33
URI: http://eprints.nottingham.ac.uk/id/eprint/30872

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