Encapsulation of anticancer drugs into carbon nanotubes: Heuristic algorithm approach and mathematical model

This research combines mathematical derivation and optimization techniques to investigate the non-covalent encapsulation of chemotherapy drugs (fluorouracil, proflavine, methylene blue, and doxorubicin) within carbon nanotubes, aiming to improve targeted drug delivery in cancer therapy. We derive analytical expression for the interaction energy between an atom and an infinite cylinder, and utilize the U-NSGA-III algorithm to optimize the system's energy by varying molecular positions and tube radius. Optimal tube radii for single- and dual-drug encapsulations are determined. Fixing the tube radius at 10 Å and varying the number of drug molecules, we observe that the shortest distance from the drug's center of mass to the tube wall is independent of the number of encapsulated molecules, depending only on the drug type. Moreover, equilibrium configurations exhibit two primary patterns, clustering near the tube wall or dispersion around the circumference, suggesting potential control mechanisms for drug release kinetics. This hybrid approach, integrating analytical and computational methods, significantly reduces computational cost, providing a foundation for studying drug-nanocarrier interactions, ultimately accelerating the development of more effective and targeted cancer treatments.

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Publication Details

Journal
PLoS ONE
Published
2025-05-20
DOI
https://doi.org/10.1371/journal.pone.0321403
Citations
3
Primary Topic
Carbon Nanotubes in Composites
Type
article
Field-Weighted Citation Impact
1.55

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article

Encapsulation of anticancer drugs into carbon nanotubes: Heuristic algorithm approach and mathematical model

Duangkamon Baowan, Kanes Sumetpipat
3 citations
PLoS ONE
Carbon Nanotubes in Composites
1.55
article

Encapsulation of anticancer drugs into carbon nanotubes: Heuristic algorithm approach and mathematical model

Duangkamon Baowan, Kanes Sumetpipat
article en
3 citations

Abstract

This research combines mathematical derivation and optimization techniques to investigate the non-covalent encapsulation of chemotherapy drugs (fluorouracil, proflavine, methylene blue, and doxorubicin) within carbon nanotubes, aiming to improve targeted drug delivery in cancer therapy. We derive analytical expression for the interaction energy between an atom and an infinite cylinder, and utilize the U-NSGA-III algorithm to optimize the system's energy by varying molecular positions and tube radius. Optimal tube radii for single- and dual-drug encapsulations are determined. Fixing the tube radius at 10 Å and varying the number of drug molecules, we observe that the shortest distance from the drug's center of mass to the tube wall is independent of the number of encapsulated molecules, depending only on the drug type. Moreover, equilibrium configurations exhibit two primary patterns, clustering near the tube wall or dispersion around the circumference, suggesting potential control mechanisms for drug release kinetics. This hybrid approach, integrating analytical and computational methods, significantly reduces computational cost, providing a foundation for studying drug-nanocarrier interactions, ultimately accelerating the development of more effective and targeted cancer treatments.

PLoS ONEVol. 20(5)
Mahidol University (TH), Centre of Excellence in Mathematics (TH), Sakon Nakhon Rajabhat University (TH)
National Research Council of Thailand
Good health and well-being
Openalex Percentile: Top 18%
Carbon Nanotubes in Composites
1.55
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