Evidence map›Paper›PMID 24723844›Full record

ArticleJournal of chemical theory and computation2010

A revised density function for molecular surface definition in continuum solvent models.

Xiang Ye, Jun Wang, Ray Luo

Abstract read
In one paragraph

Article in Journal of chemical theory and computation, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 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. Article
  10. An efficient second-order poisson-boltzmann method.Journal of computational chemistry · 2019
    Article
  11. Article
  12. Article
  13. A Continuum Poisson-Boltzmann Model for Membrane Channel Proteins.Journal of chemical theory and computation · 2017
    Article
  14. Article
  15. Article
  16. Recent Developments and Applications of the MMPBSA Method.Frontiers in molecular biosciences · 2017
    Review
  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

3 authors.

Xiang YeDepartment of Molecular Biology and Biochemistry, University of California, Irvine, California 92697-3900.
Jun WangDepartment of Molecular Biology and Biochemistry, University of California, Irvine, California 92697-3900.
Ray LuoDepartment of Molecular Biology and Biochemistry, University of California, Irvine, California 92697-3900 ; Department of Biomedical Engineering, University of California, Irvine, California 92697-3900.

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
Determinants of Folding Mechanism in Small ProteinsR01GM069620 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI LUO, RAY · 2004 to 2008
$1.1M
NIGMS NIH HHS R01 GM069620NIGMS NIH HHS R01 GM079383NIGMS NIH HHS R01 GM093040
6 · The paper itself

Abstract

A revised density function is developed to define the molecular surface for the numerical Poisson-Boltzmann methods to achieve a better convergence and higher numerical stability. The new density function does not use any predefined functional form but is numerically optimized to reproduce the reaction field energies computed with the solvent excluded surface definition. An exhaustive search in the parameter space is utilized in the optimization using a wide-range training molecules including proteins, nucleic acids, and peptides in both folded and unfolded conformations. A cubic-spline function is introduced to guarantee good numerical behavior of the new density function. Our test results show that the average relative energy errors computed with the revised density function are uniformly lower than 1% for both training and test molecules with different sizes and conformations. Our transferability analysis shows that the performance of the new method is mostly size and conformation independent. A detailed analysis further shows that the numerical forces computed with the revised density function converge better with respect to the grid spacing and are numerically more stable in tested peptides.

Identifiers

PMID24723844
PMCPMC3979486

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.