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Inclusion complex thermodynamics: The β-cyclodextrin and sertraline complex example.

Juliana Fedoce Lopes1, Clebio S Nascimento2, Cleber P A Anconi3

  • 1Laboratório de Química Computacional, LaQC, Instituto de Física e Química,Universidade Federal de Itajubá (UNIFEI), Av. BPS, 1303 Pinheirinho, Itajubá, MG 37500-903, Brazil.

Journal of Molecular Graphics & Modelling
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PubMed
Summary
This summary is machine-generated.

Computational chemistry accurately models the β-cyclodextrin-Sertraline complex formation. Including hydration waters in the thermodynamic calculations is essential for matching experimental results.

Keywords:
DFTInclusion complexSertralineThermodynamic propertiesβ-cyclodextrin

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Area of Science:

  • Computational Chemistry
  • Physical Chemistry
  • Molecular Modeling

Background:

  • β-cyclodextrin (β-CD) is a cyclic oligosaccharide used as a host molecule.
  • Sertraline is a selective serotonin reuptake inhibitor (SSRI) antidepressant.
  • Understanding the inclusion complex formation between β-CD and Sertraline is important for drug delivery applications.

Purpose of the Study:

  • To computationally investigate the thermodynamic properties of the β-cyclodextrin-Sertraline inclusion complex.
  • To evaluate the accuracy of different theoretical methods and basis sets for modeling this complex.
  • To determine the crucial factors influencing the complex formation thermodynamics.

Main Methods:

  • Density Functional Theory (DFT) calculations using the PBE0 functional.
  • Employment of various basis sets: 6-31G(d,p), 6-31++G(d,p), and 6-311++G(2df,p).
  • Assessment of electron correlation using Møller-Plesset second-order perturbation theory (MP2).
  • Application of statistical thermodynamic approaches to calculate entropic contributions.
  • Inclusion of hydration waters in the reaction model.

Main Results:

  • The PBE0 functional with specified basis sets provided reliable thermodynamic data.
  • MP2 calculations were used to refine the evaluation of electron correlation.
  • The inclusion of hydration waters significantly improved the agreement with experimental data.
  • Thermodynamic calculations showed good coherence with fundamental thermodynamic principles.

Conclusions:

  • Computational modeling, particularly DFT, is a valuable tool for studying host-guest complexation.
  • Accurate representation of solvation effects, specifically hydration, is critical for reliable thermodynamic predictions.
  • The findings support the use of β-cyclodextrin-Sertraline inclusion complexes in pharmaceutical formulations.