Literature DB >> 22112067

Differential geometry based solvation model. III. Quantum formulation.

Zhan Chen1, Guo-Wei Wei.   

Abstract

Solvation is of fundamental importance to biomolecular systems. Implicit solvent models, particularly those based on the Poisson-Boltzmann equation for electrostatic analysis, are established approaches for solvation analysis. However, ad hoc solvent-solute interfaces are commonly used in the implicit solvent theory. Recently, we have introduced differential geometry based solvation models which allow the solvent-solute interface to be determined by the variation of a total free energy functional. Atomic fixed partial charges (point charges) are used in our earlier models, which depends on existing molecular mechanical force field software packages for partial charge assignments. As most force field models are parameterized for a certain class of molecules or materials, the use of partial charges limits the accuracy and applicability of our earlier models. Moreover, fixed partial charges do not account for the charge rearrangement during the solvation process. The present work proposes a differential geometry based multiscale solvation model which makes use of the electron density computed directly from the quantum mechanical principle. To this end, we construct a new multiscale total energy functional which consists of not only polar and nonpolar solvation contributions, but also the electronic kinetic and potential energies. By using the Euler-Lagrange variation, we derive a system of three coupled governing equations, i.e., the generalized Poisson-Boltzmann equation for the electrostatic potential, the generalized Laplace-Beltrami equation for the solvent-solute boundary, and the Kohn-Sham equations for the electronic structure. We develop an iterative procedure to solve three coupled equations and to minimize the solvation free energy. The present multiscale model is numerically validated for its stability, consistency and accuracy, and is applied to a few sets of molecules, including a case which is difficult for existing solvation models. Comparison is made to many other classic and quantum models. By using experimental data, we show that the present quantum formulation of our differential geometry based multiscale solvation model improves the prediction of our earlier models, and outperforms some explicit solvation model.

Mesh:

Year:  2011        PMID: 22112067      PMCID: PMC3248025          DOI: 10.1063/1.3660212

Source DB:  PubMed          Journal:  J Chem Phys        ISSN: 0021-9606            Impact factor:   3.488


  41 in total

1.  Electrostatics of nanosystems: application to microtubules and the ribosome.

Authors:  N A Baker; D Sept; S Joseph; M J Holst; J A McCammon
Journal:  Proc Natl Acad Sci U S A       Date:  2001-08-21       Impact factor: 11.205

2.  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

Review 3.  Force fields for protein simulations.

Authors:  Jay W Ponder; David A Case
Journal:  Adv Protein Chem       Date:  2003

Review 4.  The Poisson-Boltzmann equation for biomolecular electrostatics: a tool for structural biology.

Authors:  F Fogolari; A Brigo; H Molinari
Journal:  J Mol Recognit       Date:  2002 Nov-Dec       Impact factor: 2.137

5.  Assessing implicit models for nonpolar mean solvation forces: the importance of dispersion and volume terms.

Authors:  Jason A Wagoner; Nathan A Baker
Journal:  Proc Natl Acad Sci U S A       Date:  2006-05-18       Impact factor: 11.205

6.  A new quantum method for electrostatic solvation energy of protein.

Authors:  Ye Mei; Changge Ji; John Z H Zhang
Journal:  J Chem Phys       Date:  2006-09-07       Impact factor: 3.488

7.  The SIESTA method; developments and applicability.

Authors:  Emilio Artacho; E Anglada; O Diéguez; J D Gale; A García; J Junquera; R M Martin; P Ordejón; J M Pruneda; D Sánchez-Portal; J M Soler
Journal:  J Phys Condens Matter       Date:  2008-01-24       Impact factor: 2.333

8.  Treatment of charge singularities in implicit solvent models.

Authors:  Weihua Geng; Sining Yu; Guowei Wei
Journal:  J Chem Phys       Date:  2007-09-21       Impact factor: 3.488

9.  Highly accurate biomolecular electrostatics in continuum dielectric environments.

Authors:  Y C Zhou; Michael Feig; G W Wei
Journal:  J Comput Chem       Date:  2008-01-15       Impact factor: 3.376

10.  PDB_Hydro: incorporating dipolar solvents with variable density in the Poisson-Boltzmann treatment of macromolecule electrostatics.

Authors:  Cyril Azuara; Erik Lindahl; Patrice Koehl; Henri Orland; Marc Delarue
Journal:  Nucleic Acids Res       Date:  2006-07-01       Impact factor: 16.971

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  13 in total

1.  Parameter optimization in differential geometry based solvation models.

Authors:  Bao Wang; G W Wei
Journal:  J Chem Phys       Date:  2015-10-07       Impact factor: 3.488

2.  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

3.  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

4.  Nonlinear Poisson equation for heterogeneous media.

Authors:  Langhua Hu; Guo-Wei Wei
Journal:  Biophys J       Date:  2012-08-22       Impact factor: 4.033

5.  DG-GL: Differential geometry-based geometric learning of molecular datasets.

Authors:  Duc Duy Nguyen; Guo-Wei Wei
Journal:  Int J Numer Method Biomed Eng       Date:  2019-02-07       Impact factor: 2.747

6.  Multiscale Multiphysics and Multidomain Models I: Basic Theory.

Authors:  Guo-Wei Wei
Journal:  J Theor Comput Chem       Date:  2013-12       Impact factor: 0.939

7.  Multiscale multiphysics and multidomain models--flexibility and rigidity.

Authors:  Kelin Xia; Kristopher Opron; Guo-Wei Wei
Journal:  J Chem Phys       Date:  2013-11-21       Impact factor: 3.488

8.  Multiscale geometric modeling of macromolecules I: Cartesian representation.

Authors:  Kelin Xia; Xin Feng; Zhan Chen; Yiying Tong; Guo Wei Wei
Journal:  J Comput Phys       Date:  2014-01       Impact factor: 3.553

Review 9.  A review of mathematical representations of biomolecular data.

Authors:  Duc Duy Nguyen; Zixuan Cang; Guo-Wei Wei
Journal:  Phys Chem Chem Phys       Date:  2020-02-26       Impact factor: 3.676

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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