Evidence map›Paper›PMID 24443709›Full record

ArticleComputational & theoretical chemistry2013

Exploring accurate Poisson-Boltzmann methods for biomolecular simulations.

Changhao Wang, Jun Wang, Qin Cai, Zhilin Li, Hong-Kai Zhao, Ray Luo

Abstract read
In one paragraph

Article in Computational & theoretical chemistry, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

23 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Improved Poisson-Boltzmann Methods for High-Performance Computing.Journal of chemical theory and computation · 2019
    Article
  9. Article
  10. An efficient second-order poisson-boltzmann method.Journal of computational chemistry · 2019
    Article
  11. Article
  12. Article
  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. Recent Developments and Applications of the MMPBSA Method.Frontiers in molecular biosciences · 2017
    Review
  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

6 authors.

Changhao WangDepartment of Molecular Biology and Biochemistry, University of California, Irvine, CA 92697, USA ; Department of Physics and Astronomy, University of California, Irvine, CA 92697, USA.
Jun WangDepartment of Molecular Biology and Biochemistry, University of California, Irvine, CA 92697, USA.
Qin CaiDepartment of Molecular Biology and Biochemistry, University of California, Irvine, CA 92697, USA ; Department of Biomedical Engineering, University of California, Irvine, CA 92697, USA.
Zhilin LiDepartment of Mathematics, North Carolina State University, Raleigh, NC 27695, USA.
Hong-Kai ZhaoDepartment of Mathematics, University of California, Irvine, CA 92697, USA.
Ray LuoDepartment of Molecular Biology and Biochemistry, University of California, Irvine, CA 92697, USA ; Department of Biomedical Engineering, University of California, Irvine, CA 92697, USA.

Funding

AMBER force field consortium: a coherent biomolecular simulation platformR01GM079383 · NIGMS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI CIEPLAK, PIOTR, DUAN, YONG · 2007 to 2017
$4.7M
AMBER/PBSA: An Open-Source Computer Program for Accurate and Scalable Solvation Analysis ofBiomoleculesR01GM093040 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI LUO, RAY · 2010 to 2018
$2.2M
NIGMS NIH HHS R01 GM079383NIGMS NIH HHS R01 GM093040
6 · The paper itself

Abstract

Accurate and efficient treatment of electrostatics is a crucial step in computational analyses of biomolecular structures and dynamics. In this study, we have explored a second-order finite-difference numerical method to solve the widely used Poisson-Boltzmann equation for electrostatic analyses of realistic bio-molecules. The so-called immersed interface method was first validated and found to be consistent with the classical weighted harmonic averaging method for a diversified set of test biomolecules. The numerical accuracy and convergence behaviors of the new method were next analyzed in its computation of numerical reaction field grid potentials, energies, and atomic solvation forces. Overall similar convergence behaviors were observed as those by the classical method. Interestingly, the new method was found to deliver more accurate and better-converged grid potentials than the classical method on or nearby the molecular surface, though the numerical advantage of the new method is reduced when grid potentials are extrapolated to the molecular surface. Our exploratory study indicates the need for further improving interpolation/extrapolation schemes in addition to the developments of higher-order numerical methods that have attracted most attention in the field.

Indexed as

Continuum solvent modelsFinite difference methodImmersed interface methodPoisson-Boltzmann equation

Identifiers

PMID24443709
PMCPMC3891588

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Registered trials

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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.