Literature DB >> 20495851

Dependency of ligand free energy landscapes on charge parameters and solvent models.

Yuko Okamoto1, Toshimasa Tanaka, Hironori Kokubo.   

Abstract

We performed replica-exchange molecular dynamics (REMD) simulations of six ligands to examine the dependency of their free energy landscapes on charge parameters and solvent models. Six different charge parameter sets for each ligand were first generated by RESP and AM1-BCC methods using three different conformations independently. RESP charges showed some conformational dependency. On the other hand, AM1-BCC charges did not show conformational dependency and well reproduced the overall trend of RESP charges. The free energy landscapes obtained from the REMD simulations of ligands in vacuum, Generalized-Born (GB), and TIP3P solutions were then analyzed. We found that even small charge differences can produce qualitatively different landscapes in vacuum condition, but the differences tend to be much smaller under GB and TIP3P conditions. The simulations in the GB model well reproduced the landscapes in the TIP3P model using only a fraction of the computational cost. The protein-bound ligand conformations were rarely the global minimum states, but similar conformations were found to exist in aqueous solution without proteins in regions close to the global minimum, local minimum or intermediate states.

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Year:  2010        PMID: 20495851     DOI: 10.1007/s10822-010-9367-z

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   3.686


  31 in total

1.  The Protein Data Bank.

Authors:  H M Berman; J Westbrook; Z Feng; G Gilliland; T N Bhat; H Weissig; I N Shindyalov; P E Bourne
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  Fast, efficient generation of high-quality atomic charges. AM1-BCC model: II. Parameterization and validation.

Authors:  Araz Jakalian; David B Jack; Christopher I Bayly
Journal:  J Comput Chem       Date:  2002-12       Impact factor: 3.376

3.  Development and testing of a general amber force field.

Authors:  Junmei Wang; Romain M Wolf; James W Caldwell; Peter A Kollman; David A Case
Journal:  J Comput Chem       Date:  2004-07-15       Impact factor: 3.376

4.  Automatic atom type and bond type perception in molecular mechanical calculations.

Authors:  Junmei Wang; Wei Wang; Peter A Kollman; David A Case
Journal:  J Mol Graph Model       Date:  2006-02-03       Impact factor: 2.518

Review 5.  Calculation of protein-ligand binding affinities.

Authors:  Michael K Gilson; Huan-Xiang Zhou
Journal:  Annu Rev Biophys Biomol Struct       Date:  2007

6.  Preferential solvation in urea solutions at different concentrations: properties from simulation studies.

Authors:  Hironori Kokubo; B Montgomery Pettitt
Journal:  J Phys Chem B       Date:  2007-04-21       Impact factor: 2.991

7.  Predicting absolute ligand binding free energies to a simple model site.

Authors:  David L Mobley; Alan P Graves; John D Chodera; Andrea C McReynolds; Brian K Shoichet; Ken A Dill
Journal:  J Mol Biol       Date:  2007-06-08       Impact factor: 5.469

8.  Treating entropy and conformational changes in implicit solvent simulations of small molecules.

Authors:  David L Mobley; Ken A Dill; John D Chodera
Journal:  J Phys Chem B       Date:  2008-01-03       Impact factor: 2.991

9.  Massively parallel computation of absolute binding free energy with well-equilibrated states.

Authors:  Hideaki Fujitani; Yoshiaki Tanida; Azuma Matsuura
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2009-02-26

10.  Conformational sampling of druglike molecules with MOE and catalyst: implications for pharmacophore modeling and virtual screening.

Authors:  I-Jen Chen; Nicolas Foloppe
Journal:  J Chem Inf Model       Date:  2008-09-03       Impact factor: 4.956

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