Literature DB >> 26615687

Prediction of Absolute Solvation Free Energies using Molecular Dynamics Free Energy Perturbation and the OPLS Force Field.

Devleena Shivakumar1, Joshua Williams1, Yujie Wu1, Wolfgang Damm1, John Shelley1, Woody Sherman1.   

Abstract

The accurate prediction of protein-ligand binding free energies is a primary objective in computer-aided drug design. The solvation free energy of a small molecule provides a surrogate to the desolvation of the ligand in the thermodynamic process of protein-ligand binding. Here, we use explicit solvent molecular dynamics free energy perturbation to predict the absolute solvation free energies of a set of 239 small molecules, spanning diverse chemical functional groups commonly found in drugs and drug-like molecules. We also compare the performance of absolute solvation free energies obtained using the OPLS_2005 force field with two other commonly used small molecule force fields-general AMBER force field (GAFF) with AM1-BCC charges and CHARMm-MSI with CHelpG charges. Using the OPLS_2005 force field, we obtain high correlation with experimental solvation free energies (R(2) = 0.94) and low average unsigned errors for a majority of the functional groups compared to AM1-BCC/GAFF or CHelpG/CHARMm-MSI. However, OPLS_2005 has errors of over 1.3 kcal/mol for certain classes of polar compounds. We show that predictions on these compound classes can be improved by using a semiempirical charge assignment method with an implicit bond charge correction.

Entities:  

Year:  2010        PMID: 26615687     DOI: 10.1021/ct900587b

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


  283 in total

1.  Multipole electrostatics in hydration free energy calculations.

Authors:  Yue Shi; Chuanjie Wu; Jay W Ponder; Pengyu Ren
Journal:  J Comput Chem       Date:  2010-10-05       Impact factor: 3.376

2.  Prediction of hydration free energies for aliphatic and aromatic chloro derivatives using molecular dynamics simulations with the OPLS-AA force field.

Authors:  Oliver Beckstein; Bogdan I Iorga
Journal:  J Comput Aided Mol Des       Date:  2011-12-21       Impact factor: 3.686

3.  Determination of membrane-insertion free energies by molecular dynamics simulations.

Authors:  James Gumbart; Benoît Roux
Journal:  Biophys J       Date:  2012-02-21       Impact factor: 4.033

4.  AB-Bind: Antibody binding mutational database for computational affinity predictions.

Authors:  Sarah Sirin; James R Apgar; Eric M Bennett; Amy E Keating
Journal:  Protein Sci       Date:  2015-11-06       Impact factor: 6.725

5.  Influence of Grid Spacing in Poisson-Boltzmann Equation Binding Energy Estimation.

Authors:  Robert C Harris; Alexander H Boschitsch; Marcia O Fenley
Journal:  J Chem Theory Comput       Date:  2013-08-13       Impact factor: 6.006

6.  Targeting the ubiquitin-conjugating enzyme E2D4 for cancer drug discovery-a structure-based approach.

Authors:  Vishwanath Ramatenki; Ramakrishna Dumpati; Rajender Vadija; Santhiprada Vellanki; Sarita Rajender Potlapally; Rohini Rondla; Uma Vuruputuri
Journal:  J Chem Biol       Date:  2016-12-24

7.  Improving the Resistance Profile of Hepatitis C NS3/4A Inhibitors: Dynamic Substrate Envelope Guided Design.

Authors:  Ayşegül Ozen; Woody Sherman; Celia A Schiffer
Journal:  J Chem Theory Comput       Date:  2013-12-10       Impact factor: 6.006

8.  Enhancing Virtual Screening Performance of Protein Kinases with Molecular Dynamics Simulations.

Authors:  Tavina L Offutt; Robert V Swift; Rommie E Amaro
Journal:  J Chem Inf Model       Date:  2016-10-03       Impact factor: 4.956

9.  Small Molecule Inhibitor that Stabilizes the Autoinhibited Conformation of the Oncogenic Tyrosine Phosphatase SHP2.

Authors:  Xiaoqin Wu; Gang Xu; Xiaobo Li; Weiren Xu; Qianjin Li; Wei Liu; Karen A Kirby; Mignon L Loh; Jun Li; Stefan G Sarafianos; Cheng-Kui Qu
Journal:  J Med Chem       Date:  2018-12-05       Impact factor: 7.446

10.  Pharmacophore modeling, 3D-QSAR, and docking study of pyrozolo[1,5-a]pyridine/4,4-dimethylpyrazolone analogues as PDE4 selective inhibitors.

Authors:  Naga Srinivas Tripuraneni; Mohammed Afzal Azam
Journal:  J Mol Model       Date:  2015-10-26       Impact factor: 1.810

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