AI Article Synopsis
- The research explored how QSPR modeling can predict biological responses, like fibrinogen adsorption and cell behavior, on polymethacrylate thin films.
- A vast library of over 40,000 polymer compositions could be theoretically created from 33 monomers, and specific polymers were tested for performance.
- The study found strong correlations between experimental results and predicted outcomes, highlighting the potential of using QSPR for designing tailored biomaterials for medical uses.
Article 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.
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Source |
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3138629 | PMC |
| http://dx.doi.org/10.1016/j.polymer.2011.04.014 | DOI Listing |
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