4.5 Article

Molecular simulation of the hydration Gibbs energy of barbiturates

期刊

FLUID PHASE EQUILIBRIA
卷 289, 期 2, 页码 148-155

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.fluid.2009.11.022

关键词

Barbiturates; Free energy calculations; Hydration Gibbs energy; Molecular modeling; Thermodynamic integration

资金

  1. Fundacao para a Ciencia e a Tecnologia (FCT) Portugal [FEDER/POCI/2010, REEQ/1164/EQU/2005]
  2. FCT [SFRH/BD/47822/2007]
  3. Greek General Secretariat of Research and Technology [05-MAT-USA-14]
  4. Fundacao Calouste Gulbenkian, Portugal
  5. [POCI/N010/2006]

向作者/读者索取更多资源

In the present work, molecular dynamics calculations of the Gibbs energy of hydration of 10 different substituted barbiturates in SPC/E water were performed using thermodynamic integration. Given that experimental determination of the Gibbs hydration energy for this class of compounds is currently unfeasible, computer simulations appear as the only alternative for the estimation of this important quantity. Several simulation parameters are discussed and optimized based on calculations for barbituric acid. It is concluded that accounting for electrostatic interactions with the Reaction-Field method can be up to two times faster than with Particle-Mesh-Ewald method, without loss of accuracy. Different number of solvent molecules and simulation lengths were also tested. Lennard-Jones and electrostatic contributions were scaled down to zero in an independent way. It is shown that the electrostatic contribution is dominant (representing approximately 90% of the total Gibbs energy of hydration) and that barbiturate intra-molecular interactions cannot be neglected. The importance of the electrostatic contribution is attributed to the formation of hydrogen bonds between the barbiturates and water, which play an important role in the solvation process. The influence of the different substituents and their contribution to the Gibbs energy of hydration was assessed. Finally, the Lennard-Jones contributions and the total hydration Gibbs energy can both be correlated against molecular weight or partition coefficient data for mono- and di-substituted barbiturates. (C) 2009 Elsevier B.V. All rights reserved.

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