Evidence map›Paper›PMID 17964951›Full record

ArticleMethods in cell biology2008

Computational methods for biomolecular electrostatics.

Feng Dong, Brett Olsen, Nathan A Baker

Open access · greenAbstract read
In one paragraph

Article in Methods in cell biology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
6.6field-weighted citation impact, top 3% of its field
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

33 citing papers in PubMed, 83 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Predicting Ion Effects in an RNA Conformational Equilibrium.The journal of physical chemistry. B · 2017
    Article
  6. Article
  7. Article
  8. Review
  9. A New Method to Predict Ion Effects in RNA Folding.Methods in molecular biology (Clifton, N.J.) · 2017
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Ultrafast protein structure-based virtual screening with Panther.Journal of computer-aided molecular design · 2015
    Article
  15. Multidimensional persistence in biomolecular data.Journal of computational chemistry · 2015
    Article
  16. DNA under Force: Mechanics, Electrostatics, and Hydration.Nanomaterials (Basel, Switzerland) · 2015
    Review
  17. Article
  18. Article
  19. Understanding nucleic acid-ion interactions.Annual review of biochemistry · 2014
    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

3 authors at 1 institution in 1 country.

Feng DongDepartment of Biochemistry and Molecular Biophysics, Center for Computational Biology, Washington University in St. Louis, Missouri 63110, USA.
Brett Olsen
Nathan A Baker
Washington University in St. Louis · US

Funding

APBS: NANOSCALE BIOMOLECULAR ELECTROSTATICS SOFTWARER01GM069702 · NIGMS · WASHINGTON UNIVERSITY · PI BAKER, NATHAN A. · 2004 to 2021
$6.2M
NIGMS NIH HHS R01 GM069702
6 · The paper itself

Abstract

An understanding of intermolecular interactions is essential for insight into how cells develop, operate, communicate, and control their activities. Such interactions include several components: contributions from linear, angular, and torsional forces in covalent bonds, van der waals forces, as well as electrostatics. Among the various components of molecular interactions, electrostatics are of special importance because of their long range and their influence on polar or charged molecules, including water, aqueous ions, and amino or nucleic acids, which are some of the primary components of living systems. Electrostatics, therefore, play important roles in determining the structure, motion, and function of a wide range of biological molecules. This chapter presents a brief overview of electrostatic interactions in cellular systems, with a particular focus on how computational tools can be used to investigate these types of interactions.

Indexed as

Computer SimulationBinding SitesComputational BiologyCyclic AMP-Dependent Protein KinasesLigandsPoisson DistributionSolventsStatic ElectricityThermodynamicsCyclic AMP-Dependent Protein KinasesLigandsSolvents

Identifiers

PMID17964951
PMCPMC2423940
OpenAlexW2101897623

What OpenQuestion holds

Textmetadata
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.