Evidence map›Paper›PMID 28181811›Full record

ArticleLangmuir : the ACS journal of surfaces and colloids2017

A New DelPhi Feature for Modeling Electrostatic Potential around Proteins: Role of Bound Ions and Implications for Zeta-Potential.

Arghya Chakravorty, Zhe Jia, Lin Li, Emil Alexov

Abstract read
In one paragraph

Article in Langmuir : the ACS journal of surfaces and colloids, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. DelPhi Suite: New Developments and Review of Functionalities.Journal of computational chemistry · 2019
    Article
  7. Article
  8. Article
  9. Article
  10. 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.

Arghya ChakravortyComputational Biophysics and Bioinformatics, Department of Physics and Astronomy, Clemson University , Clemson, South Carolina 29634, United States.ORCID 0000-0002-4467-1135
Zhe JiaComputational Biophysics and Bioinformatics, Department of Physics and Astronomy, Clemson University , Clemson, South Carolina 29634, United States.
Lin LiComputational Biophysics and Bioinformatics, Department of Physics and Astronomy, Clemson University , Clemson, South Carolina 29634, United States.
Emil AlexovComputational Biophysics and Bioinformatics, Department of Physics and Astronomy, Clemson University , Clemson, South Carolina 29634, United States.ORCID 0000-0001-5346-0156

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

A new feature of the popular software DelPhi is developed and reported, allowing for computing the surface averaged electrostatic potential (SAEP) of macromolecules. The user is given the option to specify the distance from the van der Waals surface where the electrostatic potential will be outputted. In conjunction with DelPhiPKa and the BION server, the user can adjust the charges of titratable groups according to specific pH values, and add explicit ions bound to the macromolecular surface. This approach is applied to a set of four proteins with "experimentally" delivered zeta (ζ)-potentials at different pH values and salt concentrations. It has been demonstrated that the protocol is capable of predicting ζ-potentials in the case of proteins with relatively large net charges. This protocol has been less successful for proteins with low net charges. The work demonstrates that in the case of proteins with large net charges, the electrostatic potential should be collected at distances about 4 Å away from the vdW surface and explicit ions should be added at a binding energy cutoff larger than 1-2kT, in order to accurately predict ζ-potentials. The low salt conditions substantiate this effect of ions on SAEP.

Indexed as

Hydrogen-Ion ConcentrationModels, MolecularParticle SizeProteinsSaltsStatic ElectricitySurface PropertiesProteinsSalts

Identifiers

PMID28181811
PMCPMC9831612

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.