Literature DB >> 26605739

First-Principles Calculation of the Intrinsic Aqueous Solubility of Crystalline Druglike Molecules.

David S Palmer1,2, James L McDonagh3, John B O Mitchell3, Tanja van Mourik3, Maxim V Fedorov1,2.   

Abstract

We demonstrate that the intrinsic aqueous solubility of crystalline druglike molecules can be estimated with reasonable accuracy from sublimation free energies calculated using crystal lattice simulations and hydration free energies calculated using the 3D Reference Interaction Site Model (3D-RISM) of the Integral Equation Theory of Molecular Liquids (IET). The solubilities of 25 crystalline druglike molecules taken from different chemical classes are predicted by the model with a correlation coefficient of R = 0.85 and a root mean square error (RMSE) equal to 1.45 log10S units, which is significantly more accurate than results obtained using implicit continuum solvent models. The method is not directly parametrized against experimental solubility data, and it offers a full computational characterization of the thermodynamics of transfer of the drug molecule from crystal phase to gas phase to dilute aqueous solution.

Year:  2012        PMID: 26605739     DOI: 10.1021/ct300345m

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  16 in total

1.  Molecular dynamics simulations of highly crowded amino acid solutions: comparisons of eight different force field combinations with experiment and with each other.

Authors:  Casey T Andrews; Adrian H Elcock
Journal:  J Chem Theory Comput       Date:  2013-10-08       Impact factor: 6.006

2.  Predictive models of aqueous solubility of organic compounds built on A large dataset of high integrity.

Authors:  Hongmao Sun; Pranav Shah; Kimloan Nguyen; Kyeong Ri Yu; Ed Kerns; Md Kabir; Yuhong Wang; Xin Xu
Journal:  Bioorg Med Chem       Date:  2019-05-27       Impact factor: 3.641

3.  Using MD Simulations To Calculate How Solvents Modulate Solubility.

Authors:  Shuai Liu; Shannon Cao; Kevin Hoang; Kayla L Young; Andrew S Paluch; David L Mobley
Journal:  J Chem Theory Comput       Date:  2016-03-02       Impact factor: 6.006

4.  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

5.  Effect of residual solvent on performance of acrylamide-containing dental materials.

Authors:  Ana P Fugolin; Adam Dobson; Jack L Ferracane; Carmem S Pfeifer
Journal:  Dent Mater       Date:  2019-08-01       Impact factor: 5.304

6.  UNC2025, a potent and orally bioavailable MER/FLT3 dual inhibitor.

Authors:  Weihe Zhang; Deborah DeRyckere; Debra Hunter; Jing Liu; Michael A Stashko; Katherine A Minson; Christopher T Cummings; Minjung Lee; Trevor G Glaros; Dianne L Newton; Susan Sather; Dehui Zhang; Dmitri Kireev; William P Janzen; H Shelton Earp; Douglas K Graham; Stephen V Frye; Xiaodong Wang
Journal:  J Med Chem       Date:  2014-08-06       Impact factor: 7.446

7.  An optimized intermolecular force field for hydrogen-bonded organic molecular crystals using atomic multipole electrostatics.

Authors:  Edward O Pyzer-Knapp; Hugh P G Thompson; Graeme M Day
Journal:  Acta Crystallogr B Struct Sci Cryst Eng Mater       Date:  2016-07-16

8.  Can human experts predict solubility better than computers?

Authors:  Samuel Boobier; Anne Osbourn; John B O Mitchell
Journal:  J Cheminform       Date:  2017-12-13       Impact factor: 8.489

9.  Computational design of molecules for an all-quinone redox flow battery.

Authors:  Süleyman Er; Changwon Suh; Michael P Marshak; Alán Aspuru-Guzik
Journal:  Chem Sci       Date:  2014-11-21       Impact factor: 9.825

Review 10.  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

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