Literature DB >> 17266352

In silico prediction of drug solubility: 2. Free energy of solvation in pure melts.

Kai Lüder1, Lennart Lindfors, Jan Westergren, Sture Nordholm, Roland Kjellander.   

Abstract

The solubility of drugs in water is investigated in a series of papers and in the current work. The free energy of solvation, DeltaG*(vl), of a drug molecule in its pure drug melt at 673.15 K (400 degrees C) has been obtained for 46 drug molecules using the free energy perturbation method. The simulations were performed in two steps where first the Coulomb and then the Lennard-Jones interactions were scaled down from full to no interaction. The results have been interpreted using a theory assuming that DeltaG*(vl) = DeltaG(cav) + E(LJ) + E(C)/2 where the free energy of cavity formation, DeltaG(cav), in these pure drug systems was obtained using hard body theories, and E(LJ) and E(C) are the Lennard-Jones and Coulomb interaction energies, respectively, of one molecule with the other ones. Since the main parameter in hard body theories is the volume fraction, an equation of state approach was used to estimate the molecular volume. Promising results were obtained using a theory for hard oblates, in which the oblate axial ratio was calculated from the molecular surface area and volume obtained from simulations. The Coulomb term, E(C)/2, is half of the Coulomb energy in accord with linear response, which showed good agreement with our simulation results. In comparison with our previous results on free energy of hydration, the Coulomb interactions in pure drug systems are weaker, and the van der Waals interactions play a more important role.

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Year:  2007        PMID: 17266352     DOI: 10.1021/jp0642239

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  7 in total

1.  Uniting cheminformatics and chemical theory to predict the intrinsic aqueous solubility of crystalline druglike molecules.

Authors:  James L McDonagh; Neetika Nath; Luna De Ferrari; Tanja van Mourik; John B O Mitchell
Journal:  J Chem Inf Model       Date:  2014-03-11       Impact factor: 4.956

2.  Approaches for calculating solvation free energies and enthalpies demonstrated with an update of the FreeSolv database.

Authors:  Guilherme Duarte Ramos Matos; Daisy Y Kyu; Hannes H Loeffler; John D Chodera; Michael R Shirts; David L Mobley
Journal:  J Chem Eng Data       Date:  2017-04-24       Impact factor: 2.694

3.  Molecular Dynamics Simulations and Experimental Results Provide Insight into Clinical Performance Differences between Sandimmune® and Neoral® Lipid-Based Formulations.

Authors:  Dallas B Warren; Shadabul Haque; Mitchell P McInerney; Karen M Corbett; Endri Kastrati; Leigh Ford; Hywel D Williams; Vincent Jannin; Hassan Benameur; Christopher J H Porter; David K Chalmers; Colin W Pouton
Journal:  Pharm Res       Date:  2021-09-24       Impact factor: 4.200

Review 4.  Computational prediction of drug solubility in water-based systems: Qualitative and quantitative approaches used in the current drug discovery and development setting.

Authors:  Christel A S Bergström; Per Larsson
Journal:  Int J Pharm       Date:  2018-02-06       Impact factor: 5.875

Review 5.  Mechanistic Understanding From Molecular Dynamics Simulation in Pharmaceutical Research 1: Drug Delivery.

Authors:  Alex Bunker; Tomasz Róg
Journal:  Front Mol Biosci       Date:  2020-11-25

6.  Challenges in the use of atomistic simulations to predict solubilities of drug-like molecules.

Authors:  Guilherme Duarte Ramos Matos; David L Mobley
Journal:  F1000Res       Date:  2018-05-31

7.  A Polarization-Consistent Model for Alcohols to Predict Solvation Free Energies.

Authors:  Maria Cecilia Barrera; Miguel Jorge
Journal:  J Chem Inf Model       Date:  2020-02-03       Impact factor: 4.956

  7 in total

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