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Preparation, characterization, drug release and computational modelling studies of antibiotics loaded amorphous chitin nanoparticles. | LitMetric

Preparation, characterization, drug release and computational modelling studies of antibiotics loaded amorphous chitin nanoparticles.

Carbohydr Polym

Centre for Nanosciences and Molecular Medicine, Amrita University, Kochi, 682 041, India. Electronic address:

Published: December 2017

AI Article Synopsis

  • The study explores how different anti-bacterial drugs interact with chitin nanocarriers, which are used for drug delivery.
  • Computational and experimental methods revealed varying binding affinities for three drugs: Ethionamide, Methacycline, and Rifampicin, with binding energies of -7.3, -5.1, and -8.1 kcal/mol, respectively.
  • The findings suggest a strong correlation between theoretical predictions and experimental results, indicating that these insights can streamline the optimization of new antibiotic drug delivery systems.

Article Abstract

We present a computational investigation of binding affinity of different types of drugs with chitin nanocarriers. Understanding the chitn polymer-drug interaction is important to design and optimize the chitin based drug delivery systems. The binding affinity of three different types of anti-bacterial drugs Ethionamide (ETA) Methacycline (MET) and Rifampicin (RIF) with amorphous chitin nanoparticles (AC-NPs) were studied by integrating computational and experimental techniques. The binding energies (BE) of hydrophobic ETA, hydrophilic MET and hydrophobic RIF were -7.3kcal/mol, -5.1kcal/mol and -8.1kcal/mol respectively, with respect to AC-NPs, using molecular docking studies. This theoretical result was in good correlation with the experimental studies of AC-drug loading and drug entrapment efficiencies of MET (3.5±0.1 and 25± 2%), ETA (5.6±0.02 and 45±4%) and RIF (8.9±0.20 and 53±5%) drugs respectively. Stability studies of the drug encapsulated nanoparticles showed stable values of size, zeta and polydispersity index at 6°C temperature. The correlation between computational BE and experimental drug entrapment efficiencies of RIF, ETA and MET drugs with four AC-NPs strands were 0.999 respectively, while that of the drug loading efficiencies were 0.854 respectively. Further, the molecular docking results predict the atomic level details derived from the electrostatic, hydrogen bonding and hydrophobic interactions of the drug and nanoparticle for its encapsulation and loading in the chitin-based host-guest nanosystems. The present results thus revealed the drug loading and drug delivery insights and has the potential of reducing the time and cost of processing new antibiotic drug delivery nanosystem optimization, development and discovery.

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Source
http://dx.doi.org/10.1016/j.carbpol.2017.08.112DOI Listing

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