Evidence map›Paper›PMID 21709855›Full record

ArticleJournal of computational physics2010

Poisson-Nernst-Planck Equations for Simulating Biomolecular Diffusion-Reaction Processes I: Finite Element Solutions.

Benzhuo Lu, Michael J Holst, J Andrew McCammon, Y C Zhou

Abstract read
In one paragraph

Article in Journal of computational physics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Improved Poisson-Boltzmann Methods for High-Performance Computing.Journal of chemical theory and computation · 2019
    Article
  9. An efficient second-order poisson-boltzmann method.Journal of computational chemistry · 2019
    Article
  10. Article
  11. Article
  12. Frontiers in biomolecular mesh generation and molecular visualization systems.Visual computing for industry, biomedicine, and art · 2018
    Review
  13. Article
  14. A Continuum Poisson-Boltzmann Model for Membrane Channel Proteins.Journal of chemical theory and computation · 2017
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Benzhuo LuState Key Laboratory of Scientific and Engineering Computing, Institute of Computational Mathematics and Scientific/Engineering Computing, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China.
Michael J Holst
J Andrew McCammon
Y C Zhou

Funding

VISUALIZATION TOOLS FOR AUTOMATED MOLECULAR MICROSCOPYP41RR008605 · NCRR · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PAPADOPOULOS, PHILIP · 1994 to 2011
$28.1M
THEORY OF BIOMOLECULAR DIFFUSIONR01GM031749 · NIGMS · UNIVERSITY OF HOUSTON · PI HUBER, GARY ALEXANDER, MCCAMMON, JAMES ANDREW · 1985 to 2022
$7.8M
Howard Hughes Medical InstituteNCRR NIH HHS P41 RR008605NIGMS NIH HHS R01 GM031749
6 · The paper itself

Abstract

In this paper we developed accurate finite element methods for solving 3-D Poisson-Nernst-Planck (PNP) equations with singular permanent charges for electrodiffusion in solvated biomolecular systems. The electrostatic Poisson equation was defined in the biomolecules and in the solvent, while the Nernst-Planck equation was defined only in the solvent. We applied a stable regularization scheme to remove the singular component of the electrostatic potential induced by the permanent charges inside biomolecules, and formulated regular, well-posed PNP equations. An inexact-Newton method was used to solve the coupled nonlinear elliptic equations for the steady problems; while an Adams-Bashforth-Crank-Nicolson method was devised for time integration for the unsteady electrodiffusion. We numerically investigated the conditioning of the stiffness matrices for the finite element approximations of the two formulations of the Nernst-Planck equation, and theoretically proved that the transformed formulation is always associated with an ill-conditioned stiffness matrix. We also studied the electroneutrality of the solution and its relation with the boundary conditions on the molecular surface, and concluded that a large net charge concentration is always present near the molecular surface due to the presence of multiple species of charged particles in the solution. The numerical methods are shown to be accurate and stable by various test problems, and are applicable to real large-scale biophysical electrodiffusion problems.

Identifiers

PMID21709855
PMCPMC2922884

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.