↓ Skip to main content

PLOS

Web-Based Computational Chemistry Education with CHARMMing III: Reduction Potentials of Electron Transfer Proteins

Overview of attention for article published in PLoS Computational Biology, July 2014
Altmetric Badge

Mentioned by

blogs
1 blog
twitter
3 X users
googleplus
1 Google+ user

Readers on

mendeley
57 Mendeley
citeulike
1 CiteULike
Title
Web-Based Computational Chemistry Education with CHARMMing III: Reduction Potentials of Electron Transfer Proteins
Published in
PLoS Computational Biology, July 2014
DOI 10.1371/journal.pcbi.1003739
Pubmed ID
Authors

B. Scott Perrin, Benjamin T. Miller, Vinushka Schalk, H. Lee Woodcock, Bernard R. Brooks, Toshiko Ichiye

Abstract

A module for fast determination of reduction potentials, E°, of redox-active proteins has been implemented in the CHARMM INterface and Graphics (CHARMMing) web portal (www.charmming.org). The free energy of reduction, which is proportional to E°, is composed of an intrinsic contribution due to the redox site and an environmental contribution due to the protein and solvent. Here, the intrinsic contribution is selected from a library of pre-calculated density functional theory values for each type of redox site and redox couple, while the environmental contribution is calculated from a crystal structure of the protein using Poisson-Boltzmann continuum electrostatics. An accompanying lesson demonstrates a calculation of E°. In this lesson, an ionizable residue in a [4Fe-4S]-protein that causes a pH-dependent E° is identified, and the E° of a mutant that would test the identification is predicted. This demonstration is valuable to both computational chemistry students and researchers interested in predicting sequence determinants of E° for mutagenesis.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 5%
Hungary 1 2%
United Kingdom 1 2%
Czechia 1 2%
Canada 1 2%
Ukraine 1 2%
Unknown 49 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 30%
Student > Ph. D. Student 11 19%
Professor 7 12%
Professor > Associate Professor 5 9%
Student > Bachelor 4 7%
Other 8 14%
Unknown 5 9%
Readers by discipline Count As %
Chemistry 20 35%
Biochemistry, Genetics and Molecular Biology 11 19%
Agricultural and Biological Sciences 9 16%
Physics and Astronomy 4 7%
Medicine and Dentistry 2 4%
Other 5 9%
Unknown 6 11%