Evidence map›Paper›PMID 29036596›Full record

ArticleBioinformatics (Oxford, England)2017

DelPhiForce web server: electrostatic forces and energy calculations and visualization.

Lin Li, Zhe Jia, Yunhui Peng, Arghya Chakravorty, Lexuan Sun, Emil Alexov

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2017. 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
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  16. Article
  17. Electrostatic features for nucleocapsid proteins of SARS-CoV and SARS-CoV-2.Mathematical biosciences and engineering : MBE · 2021
    Article
  18. Article
  19. A computational model of ESAT-6 complex in membrane.Journal of theoretical & computational chemistry · 2020
    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

6 authors.

Lin LiDepartment of Physics, Clemson University, Clemson, SC 29631, USA.
Zhe JiaDepartment of Physics, Clemson University, Clemson, SC 29631, USA.
Yunhui PengDepartment of Physics, Clemson University, Clemson, SC 29631, USA.
Arghya ChakravortyDepartment of Physics, Clemson University, Clemson, SC 29631, USA.
Lexuan SunDepartment of Physics, Clemson University, Clemson, SC 29631, USA.
Emil AlexovDepartment of Physics, Clemson University, Clemson, SC 29631, USA.

Funding

New Generation DelPhi: large systems and beyond electrostaticsR01GM093937 · NIGMS · CLEMSON UNIVERSITY · PI ALEXOV, EMIL GEORGIEV · 2010 to 2023
$4.3M
NIGMS NIH HHS R01 GM093937
6 · The paper itself

Abstract

summaryElectrostatic force is an essential component of the total force acting between atoms and macromolecules. Therefore, accurate calculations of electrostatic forces are crucial for revealing the mechanisms of many biological processes. We developed a DelPhiForce web server to calculate and visualize the electrostatic forces at molecular level. DelPhiForce web server enables modeling of electrostatic forces on individual atoms, residues, domains and molecules, and generates an output that can be visualized by VMD software. Here we demonstrate the usage of the server for various biological problems including protein-cofactor, domain-domain, protein-protein, protein-DNA and protein-RNA interactions. AVAILABILITY AND IMPLEMENTATION: The DelPhiForce web server is available at: http://compbio.clemson.edu/delphi-force. CONTACT: delphi@clemson.edu. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

Models, MolecularProtein ConformationSoftwareComputational BiologyDNAInternetProtein BindingProteinsRNADNAProteinsRNA

Identifiers

PMID29036596
PMCPMC5870670

What OpenQuestion holds

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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.