Literature DB >> 17550285

In silico prediction of drug solubility. 3. Free energy of solvation in pure amorphous matter.

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

Abstract

The solubility of drugs in water is investigated in a series of papers. In this work, we address the process of bringing a drug molecule from the vapor into a pure drug amorphous phase. This step enables us to actually calculate the solubility of amorphous drugs in water. In our general approach, we, on one hand, perform rigorous free energy simulations using a combination of the free energy perturbation and thermodynamic integration methods. On the other hand, we develop an approximate theory containing parameters that are easily accessible from conventional Monte Carlo simulations, thereby reducing the computation time significantly. In the theory for solvation, we assume that DeltaG* = DeltaGcav + ELJ + EC/2, where the free energy of cavity formation, DeltaGcav, in pure drug systems is obtained using a theory for hard-oblate spheroids, and ELJ and EC are the Lennard-Jones and Coulomb interaction energies between the chosen molecule and the others in the fluid. The theoretical predictions for the free energy of solvation in pure amorphous matter are in good agreement with free energy simulation data for 46 different drug molecules. These results together with our previous studies support our theoretical approach. By using our previous data for the free energy of hydration, we compute the total free energy change of bringing a molecule from the amorphous phase into water. We obtain good agreement between the theory and simulations. It should be noted that to obtain accurate results for the total process, high precision data are needed for the individual subprocesses. Finally, for eight different substances, we compare the experimental amorphous and crystalline solubility in water with the results obtained by the proposed theory with reasonable success.

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Year:  2007        PMID: 17550285     DOI: 10.1021/jp071687d

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


  9 in total

1.  Influence of preparation methods on solid state supersaturation of amorphous solid dispersions: a case study with itraconazole and eudragit e100.

Authors:  Sandrien Janssens; Ann De Zeure; Amrit Paudel; Jan Van Humbeeck; Patrick Rombaut; Guy Van den Mooter
Journal:  Pharm Res       Date:  2010-03-02       Impact factor: 4.200

Review 2.  Simulation Models for Prediction of Bioavailability of Medicinal Drugs-the Interface Between Experiment and Computation.

Authors:  Mahmoud E Soliman; Adeniyi T Adewumi; Oluwole B Akawa; Temitayo I Subair; Felix O Okunlola; Oluwayimika E Akinsuku; Shahzeb Khan
Journal:  AAPS PharmSciTech       Date:  2022-03-15       Impact factor: 3.246

3.  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

4.  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

Review 5.  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

6.  Machine learning with physicochemical relationships: solubility prediction in organic solvents and water.

Authors:  Samuel Boobier; David R J Hose; A John Blacker; Bao N Nguyen
Journal:  Nat Commun       Date:  2020-11-13       Impact factor: 14.919

7.  Three machine learning models for the 2019 Solubility Challenge.

Authors:  John B O Mitchell
Journal:  ADMET DMPK       Date:  2020-06-15

8.  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

9.  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

  9 in total

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