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Published on: March 11, 2017
Method for predicting sorption of small drug molecules onto polylactide
1Department of Textiles, Clothing and Design, 234 HECO Building, University of Nebraska-Lincoln, Lincoln, Nebraska 68583-0802, USA.
Journal of Biomedical Materials Research. Part A
|February 21, 2008
Summary
A new method predicts drug sorption onto polylactide (PLA) using molecular modeling and functional group analysis. This approach aids in selecting drugs for controlled release applications.
Area of Science:
- Materials Science
- Computational Chemistry
- Pharmacology
Background:
- Polylactide (PLA) is widely used in drug delivery systems.
- Predicting drug-polymer interactions is crucial for controlled release.
- Accurate prediction of drug sorption onto PLA is needed.
Purpose of the Study:
- To develop a predictive method for drug sorption onto PLA.
- To identify functional group contributions to drug-PLA interactions.
- To validate the method with experimental data for drug selection.
Main Methods:
- Utilizing molecular modeling to calculate drug-PLA interaction energy.
- Determining adsorbate functional group contributions to interaction energy.
- Applying a linear equation derived from experimental dye sorption data.
Main Results:
- Identified specific functional group contributions to drug-PLA interaction energy.
- Developed a linear model to predict the sorption equilibrium constant.
- Successfully predicted percent sorption of small drug molecules onto PLA, validated experimentally.
Conclusions:
- The developed method accurately predicts drug sorption onto PLA.
- This predictive tool can assist in selecting suitable drugs for PLA-based controlled release systems.
- The methodology can be extended to predict drug sorption onto other polymers.
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