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The normal-mode entropy in the MM/GBSA method: effect of system truncation, buffer region, and dielectric constant.
- Source :
-
Journal of chemical information and modeling [J Chem Inf Model] 2012 Aug 27; Vol. 52 (8), pp. 2079-88. Date of Electronic Publication: 2012 Aug 02. - Publication Year :
- 2012
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Abstract
- We have performed a systematic study of the entropy term in the MM/GBSA (molecular mechanics combined with generalized Born and surface-area solvation) approach to calculate ligand-binding affinities. The entropies are calculated by a normal-mode analysis of harmonic frequencies from minimized snapshots of molecular dynamics simulations. For computational reasons, these calculations have normally been performed on truncated systems. We have studied the binding of eight inhibitors of blood clotting factor Xa, nine ligands of ferritin, and two ligands of HIV-1 protease and show that removing protein residues with distances larger than 8-16 Å to the ligand, including a 4 Å shell of fixed protein residues and water molecules, change the absolute entropies by 1-5 kJ/mol on average. However, the change is systematic, so relative entropies for different ligands change by only 0.7-1.6 kJ/mol on average. Consequently, entropies from truncated systems give relative binding affinities that are identical to those obtained for the whole protein within statistical uncertainty (1-2 kJ/mol). We have also tested to use a distance-dependent dielectric constant in the minimization and frequency calculation (ε = 4r), but it typically gives slightly different entropies and poorer binding affinities. Therefore, we recommend entropies calculated with the smallest truncation radius (8 Å) and ε =1. Such an approach also gives an improved precision for the calculated binding free energies.
- Subjects :
- Electric Impedance
Factor Xa chemistry
Factor Xa metabolism
Factor Xa Inhibitors
Ferritins antagonists & inhibitors
Ferritins chemistry
Ferritins metabolism
HIV Protease chemistry
HIV Protease metabolism
HIV Protease Inhibitors metabolism
Molecular Dynamics Simulation
Protein Binding
Protein Conformation
Proteins antagonists & inhibitors
Entropy
Proteins chemistry
Proteins metabolism
Subjects
Details
- Language :
- English
- ISSN :
- 1549-960X
- Volume :
- 52
- Issue :
- 8
- Database :
- MEDLINE
- Journal :
- Journal of chemical information and modeling
- Publication Type :
- Academic Journal
- Accession number :
- 22817270
- Full Text :
- https://doi.org/10.1021/ci3001919