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Cited by 300

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Enzyme Catalysis: Tool to Make and Break Amygdalin Hydrogelators from Renewable Resources: A Delivery Model for Hydrophobic Drugs

Vemula, Praveen Kumar, Li, Jun, John, George·2006·Journal of the American Chemical Society

Abstract

We report a novel approach for the controlled delivery of an antiinflammatory, chemopreventive drug by an enzyme-triggered drug release mechanism via the degradation of encapsulated hydrogels. The hydro- and organogelators are synthesized in high yields from renewable resources by using regioselective enzyme catalysis, and a known chemopreventive and antiinflammatory drug, i.e., curcumin, is used for the model study. The release of the drug occurred at physiological temperature, and control of the drug release rate is achieved by manipulating the enzyme concentration and/or temperature. The byproducts formed after the gel degradation were characterized and clearly demonstrated the site specificity of degradation of the gelator by enzyme catalysis. The present approach could have applications in developing cost-effective controlled drug delivery vehicles from renewable resources, with a potential impact on pharmaceutical research and molecular design and delivery strategies.

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Metadata

Authors
Vemula, P. K., Li, J., & John, G.
Venue
Journal of the American Chemical Society
Published
2006-06-20
Volume
128
Issue
27
Pages
8932-8938
ISSN
  • 0002-7863 (ISSN-L)
  • 1520-5126
OpenAlex
W1991660232
Cited by
300
References
0
FWCI
8.03
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Enzyme Catalysis: Tool to Make and Break Amygdalin Hydrogelators from Renewable Resources: A Delivery Model for Hydrophobic Drugs. https://app.cochat.ai/papers/10.1021/ja062650u
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Vemula, P. K., Li, J., & John, G. (2006). Enzyme Catalysis: Tool to Make and Break Amygdalin Hydrogelators from Renewable Resources: A Delivery Model for Hydrophobic Drugs. Journal of the American Chemical Society. https://doi.org/10.1021/ja062650u

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.