Literature DB >> 23304097

On the Dielectric Boundary in Poisson-Boltzmann Calculations.

Harianto Tjong1, Huan-Xiang Zhou.   

Abstract

In applying the Poisson-Boltzmann (PB) equation for calculating the electrostatic free energies of solute molecules, an open question is how to specify the boundary between the low-dielectric solute and the high-dielectric solvent. Two common specifications of the dielectric boundary, as the molecular surface (MS) or the van der Waals (vdW) surface of the solute, give very different results for the electrostatic free energy of the solute. With the same atomic radii, the solute is more solvent-exposed in the vdW specification. One way to resolve the difference is to use different sets of atomic radii for the two surfaces. The radii for the vdW surface would be larger in order to compensate for the higher solvent exposure. Here we show that radius re-parameterization required for bringing MS-based and vdW-based PB results to agreement is solute-size dependent. The difference in atomic radii for individual amino acids as solutes is only 2-5% but increases to over 20% for proteins with ~200 residues. Therefore two sets of radii that yield identical MS-based and vdW-based PB results for small solutes will give very different PB results for large solutes. This finding raises issues about two common practices. The first is the use of atomic radii, which are parameterized against either experimental solvation data or data obtained from explicit-solvent simulations on small compounds, for PB calculations on proteins. The second is the parameterization of vdW-based generalized Born models against MS-based PB results.

Entities:  

Year:  2008        PMID: 23304097      PMCID: PMC3538373          DOI: 10.1021/ct700319x

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


  36 in total

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2.  Electrostatic contributions to the stability of a thermophilic cold shock protein.

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3.  Electrostatic contributions to T4 lysozyme stability: solvent-exposed charges versus semi-buried salt bridges.

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Journal:  Biophys J       Date:  2002-09       Impact factor: 4.033

4.  Effective Born radii in the generalized Born approximation: the importance of being perfect.

Authors:  Alexey Onufriev; David A Case; Donald Bashford
Journal:  J Comput Chem       Date:  2002-11-15       Impact factor: 3.376

5.  Optimizing the Poisson Dielectric Boundary with Explicit Solvent Forces and Energies:  Lessons Learned with Atom-Centered Dielectric Functions.

Authors:  Jessica M J Swanson; Jason A Wagoner; Nathan A Baker; J A McCammon
Journal:  J Chem Theory Comput       Date:  2007-01       Impact factor: 6.006

6.  Electrostatic contribution to the binding stability of protein-protein complexes.

Authors:  Feng Dong; Huan-Xiang Zhou
Journal:  Proteins       Date:  2006-10-01

7.  Prediction of protein-protein association rates from a transition-state theory.

Authors:  Ramzi Alsallaq; Huan-Xiang Zhou
Journal:  Structure       Date:  2007-02       Impact factor: 5.006

8.  Demonstration of positionally disordered water within a protein hydrophobic cavity by NMR.

Authors:  J A Ernst; R T Clubb; H X Zhou; A M Gronenborn; G M Clore
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9.  Generalized born model with a simple smoothing function.

Authors:  Wonpil Im; Michael S Lee; Charles L Brooks
Journal:  J Comput Chem       Date:  2003-11-15       Impact factor: 3.376

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  13 in total

1.  Using Correlated Monte Carlo Sampling for Efficiently Solving the Linearized Poisson-Boltzmann Equation Over a Broad Range of Salt Concentration.

Authors:  Marcia O Fenley; Michael Mascagni; James McClain; Alexander R J Silalahi; Nikolai A Simonov
Journal:  J Chem Theory Comput       Date:  2010-01-01       Impact factor: 6.006

2.  Calculating the binding free energies of charged species based on explicit-solvent simulations employing lattice-sum methods: an accurate correction scheme for electrostatic finite-size effects.

Authors:  Gabriel J Rocklin; David L Mobley; Ken A Dill; Philippe H Hünenberger
Journal:  J Chem Phys       Date:  2013-11-14       Impact factor: 3.488

3.  Origin of parameter degeneracy and molecular shape relationships in geometric-flow calculations of solvation free energies.

Authors:  Michael D Daily; Jaehun Chun; Alejandro Heredia-Langner; Guowei Wei; Nathan A Baker
Journal:  J Chem Phys       Date:  2013-11-28       Impact factor: 3.488

4.  Prediction of protein solubility from calculation of transfer free energy.

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Journal:  Biophys J       Date:  2008-05-30       Impact factor: 4.033

5.  Charge density distributions derived from smoothed electrostatic potential functions: design of protein reduced point charge models.

Authors:  Laurence Leherte; Daniel P Vercauteren
Journal:  J Comput Aided Mol Des       Date:  2011-09-14       Impact factor: 3.686

6.  Explicit ions/implicit water generalized Born model for nucleic acids.

Authors:  Igor S Tolokh; Dennis G Thomas; Alexey V Onufriev
Journal:  J Chem Phys       Date:  2018-05-21       Impact factor: 3.488

Review 7.  Biomolecular electrostatics and solvation: a computational perspective.

Authors:  Pengyu Ren; Jaehun Chun; Dennis G Thomas; Michael J Schnieders; Marcelo Marucho; Jiajing Zhang; Nathan A Baker
Journal:  Q Rev Biophys       Date:  2012-11       Impact factor: 5.318

8.  Accuracy comparison of several common implicit solvent models and their implementations in the context of protein-ligand binding.

Authors:  E V Katkova; A V Onufriev; B Aguilar; V B Sulimov
Journal:  J Mol Graph Model       Date:  2016-12-21       Impact factor: 2.518

Review 9.  Electrostatic Interactions in Protein Structure, Folding, Binding, and Condensation.

Authors:  Huan-Xiang Zhou; Xiaodong Pang
Journal:  Chem Rev       Date:  2018-01-10       Impact factor: 60.622

10.  Parameterization of a geometric flow implicit solvation model.

Authors:  Dennis G Thomas; Jaehun Chun; Zhan Chen; Guowei Wei; Nathan A Baker
Journal:  J Comput Chem       Date:  2012-12-05       Impact factor: 3.376

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