Abstract
The interactions of cells with synthetic surfaces are a critical factor in biomaterials design and it would be invaluable if these interactions could be precisely controlled and predicted. Hydrophobicity or lipophilicity of the surface is commonly used to rationalize cell attachment to materials. In the pharmaceutical sciences it is common practice to use logP, the partitioning coefficient between water and octanol, as a reliable indicator of the hydrophobicity or lipophilicity of (drug) molecules. A number of methods are available to reliably predict logP values directly from molecular structure. In this paper we demonstrate that logP values calculated on the basis of the molecular structure of a range of surface-tethered groups correlate well with cell spreading. To our knowledge this is the first method to predict cell spreading on chemically modified surfaces via nonspecific interactions. (c) 2007 Acta Materialia Inc. Published by Elsevier Ltd. All rights reserved.
Original language | English |
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Pages (from-to) | 715-721 |
Number of pages | 7 |
Journal | Acta Biomaterialia |
Volume | 3 |
Issue number | 5 |
DOIs | |
Publication status | Published - Sept 2007 |
Keywords
- cell spreading
- calculated logP
- amino acid-modified surfaces
- surface functionalization
- osteoblast