Your browser doesn't support javascript.
loading
An efficient second-order poisson-boltzmann method.
Wei, Haixin; Luo, Ray; Qi, Ruxi.
Afiliação
  • Wei H; Department of Chemical Engineering and Materials Science, University of California, Irvine, California, 92697.
  • Luo R; Department of Chemical Engineering and Materials Science, University of California, Irvine, California, 92697.
  • Qi R; Department of Molecular Biology and Biochemistry, University of California, Irvine, California, 92697.
J Comput Chem ; 40(12): 1257-1269, 2019 05 05.
Article em En | MEDLINE | ID: mdl-30776135
Immersed interface method (IIM) is a promising high-accuracy numerical scheme for the Poisson-Boltzmann model that has been widely used to study electrostatic interactions in biomolecules. However, the IIM suffers from instability and slow convergence for typical applications. In this study, we introduced both analytical interface and surface regulation into IIM to address these issues. The analytical interface setup leads to better accuracy and its convergence closely follows a quadratic manner as predicted by theory. The surface regulation further speeds up the convergence for nontrivial biomolecules. In addition, uncertainties of the numerical energies for tested systems are also reduced by about half. More interestingly, the analytical setup significantly improves the linear solver efficiency and stability by generating more precise and better-conditioned linear systems. Finally, we implemented the bottleneck linear system solver on GPUs to further improve the efficiency of the method, so it can be widely used for practical biomolecular applications. © 2019 Wiley Periodicals, Inc.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Água / Proteínas / Biologia Computacional Tipo de estudo: Prognostic_studies Idioma: En Revista: J Comput Chem Assunto da revista: QUIMICA Ano de publicação: 2019 Tipo de documento: Article País de publicação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Água / Proteínas / Biologia Computacional Tipo de estudo: Prognostic_studies Idioma: En Revista: J Comput Chem Assunto da revista: QUIMICA Ano de publicação: 2019 Tipo de documento: Article País de publicação: Estados Unidos