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Computational modeling of in vitro biological responses on polymethacrylate surfaces.

ABSTRACT: The objective of this research was to examine the capabilities of QSPR (Quantitative Structure Property Relationship) modeling to predict specific biological responses (fibrinogen adsorption, cell attachment and cell proliferation index) on thin films of different polymethacrylates. Using 33 commercially available monomers it is theoretically possible to construct a library of over 40,000 distinct polymer compositions. A subset of these polymers were synthesized and solvent cast surfaces were prepared in 96 well plates for the measurement of fibrinogen adsorption. NIH 3T3 cell attachment and proliferation index were measured on spin coated thin films of these polymers. Based on the experimental results of these polymers, separate models were built for homo-, co-, and terpolymers in the library with good correlation between experiment and predicted values. The ability to predict biological responses by simple QSPR models for large numbers of polymers has important implications in designing biomaterials for specific biological or medical applications.

SUBMITTER: Ghosh J

PROVIDER: S-EPMC3138629 | biostudies-literature | 2011 May

REPOSITORIES: biostudies-literature

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Computational modeling of in vitro biological responses on polymethacrylate surfaces.

Ghosh Jayeeta J Lewitus Dan Y DY Chandra Prafulla P Joy Abraham A Bushman Jared J Knight Doyle D Kohn Joachim J

Polymer 20110501 12

The objective of this research was to examine the capabilities of QSPR (Quantitative Structure Property Relationship) modeling to predict specific biological responses (fibrinogen adsorption, cell attachment and cell proliferation index) on thin films of different polymethacrylates. Using 33 commercially available monomers it is theoretically possible to construct a library of over 40,000 distinct polymer compositions. A subset of these polymers were synthesized and solvent cast surfaces were pr ...[more]

PMID: 21779132

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Dataset Information

Computational modeling of in vitro biological responses on polymethacrylate surfaces.

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Computational modeling of in vitro biological responses on polymethacrylate surfaces.

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