Literature DB >> 17186484

Ab initio quantum mechanics-based free energy perturbation method for calculating relative solvation free energies.

M Rami Reddy1, U C Singh, Mark D Erion.   

Abstract

A free energy perturbation (FEP) method was developed that uses ab initio quantum mechanics (QM) for treating the solute molecules and molecular mechanics (MM) for treating the surroundings. Like our earlier results using AM1 semi empirical QMs, the ab initio QM/MM-based FEP method was shown to accurately calculate relative solvation free energies for a diverse set of small molecules that differ significantly in structure, aromaticity, hydrogen bonding potential, and electron density. Accuracy was similar to or better than conventional FEP methods. The QM/MM-based methods eliminate the need for time-consuming development of MM force field parameters, which are frequently required for drug-like molecules containing structural motifs not adequately described by MM. Future automation of the method and parallelization of the code for Linux 128/256/512 clusters is expected to enhance the speed and increase its use for drug design and lead optimization.

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Year:  2007        PMID: 17186484     DOI: 10.1002/jcc.20510

Source DB:  PubMed          Journal:  J Comput Chem        ISSN: 0192-8651            Impact factor:   3.376


  11 in total

1.  Differential geometry based solvation model II: Lagrangian formulation.

Authors:  Zhan Chen; Nathan A Baker; G W Wei
Journal:  J Math Biol       Date:  2011-01-30       Impact factor: 2.259

2.  Differential geometry based solvation model. III. Quantum formulation.

Authors:  Zhan Chen; Guo-Wei Wei
Journal:  J Chem Phys       Date:  2011-11-21       Impact factor: 3.488

3.  Relative solvation free energies calculated using an ab initio QM/MM-based free energy perturbation method: dependence of results on simulation length.

Authors:  M Rami Reddy; Mark D Erion
Journal:  J Comput Aided Mol Des       Date:  2009-09-17       Impact factor: 3.686

4.  Variational approach for nonpolar solvation analysis.

Authors:  Zhan Chen; Shan Zhao; Jaehun Chun; Dennis G Thomas; Nathan A Baker; Peter W Bates; G W Wei
Journal:  J Chem Phys       Date:  2012-08-28       Impact factor: 3.488

5.  Calculating distribution coefficients based on multi-scale free energy simulations: an evaluation of MM and QM/MM explicit solvent simulations of water-cyclohexane transfer in the SAMPL5 challenge.

Authors:  Gerhard König; Frank C Pickard; Jing Huang; Andrew C Simmonett; Florentina Tofoleanu; Juyong Lee; Pavlo O Dral; Samarjeet Prasad; Michael Jones; Yihan Shao; Walter Thiel; Bernard R Brooks
Journal:  J Comput Aided Mol Des       Date:  2016-08-30       Impact factor: 3.686

6.  Differential geometry based solvation model I: Eulerian formulation.

Authors:  Zhan Chen; Nathan A Baker; G W Wei
Journal:  J Comput Phys       Date:  2010-11-01       Impact factor: 3.553

7.  Fast and Effective Prediction of the Absolute Binding Free Energies of Covalent Inhibitors of SARS-CoV-2 Main Protease and 20S Proteasome.

Authors:  Jiao Zhou; Arjun Saha; Ziwei Huang; Arieh Warshel
Journal:  J Am Chem Soc       Date:  2022-04-18       Impact factor: 16.383

8.  Evaluating thermodynamic integration performance of the new amber molecular dynamics package and assess potential halogen bonds of enoyl-ACP reductase (FabI) benzimidazole inhibitors.

Authors:  Pin-Chih Su; Michael E Johnson
Journal:  J Comput Chem       Date:  2015-12-15       Impact factor: 3.376

9.  Multiscale Free Energy Simulations: An Efficient Method for Connecting Classical MD Simulations to QM or QM/MM Free Energies Using Non-Boltzmann Bennett Reweighting Schemes.

Authors:  Gerhard König; Phillip S Hudson; Stefan Boresch; H Lee Woodcock
Journal:  J Chem Theory Comput       Date:  2014-02-11       Impact factor: 6.006

10.  A Comparison of QM/MM Simulations with and without the Drude Oscillator Model Based on Hydration Free Energies of Simple Solutes.

Authors:  Gerhard König; Frank C Pickard; Jing Huang; Walter Thiel; Alexander D MacKerell; Bernard R Brooks; Darrin M York
Journal:  Molecules       Date:  2018-10-19       Impact factor: 4.411

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