↓ Skip to main content

PLOS

Web-Based Computational Chemistry Education with CHARMMing II: Coarse-Grained Protein Folding

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

Mentioned by

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

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
65 Mendeley
citeulike
1 CiteULike
Title
Web-Based Computational Chemistry Education with CHARMMing II: Coarse-Grained Protein Folding
Published in
PLoS Computational Biology, July 2014
DOI 10.1371/journal.pcbi.1003738
Pubmed ID
Authors

Frank C. Pickard, Benjamin T. Miller, Vinushka Schalk, Michael G. Lerner, H. Lee Woodcock, Bernard R. Brooks

Abstract

A lesson utilizing a coarse-grained (CG) Gō-like model has been implemented into the CHARMM INterface and Graphics (CHARMMing) web portal (www.charmming.org) to the Chemistry at HARvard Macromolecular Mechanics (CHARMM) molecular simulation package. While widely used to model various biophysical processes, such as protein folding and aggregation, CG models can also serve as an educational tool because they can provide qualitative descriptions of complex biophysical phenomena for a relatively cheap computational cost. As a proof of concept, this lesson demonstrates the construction of a CG model of a small globular protein, its simulation via Langevin dynamics, and the analysis of the resulting data. This lesson makes connections between modern molecular simulation techniques and topics commonly presented in an advanced undergraduate lecture on physical chemistry. It culminates in a straightforward analysis of a short dynamics trajectory of a small fast folding globular protein; we briefly describe the thermodynamic properties that can be calculated from this analysis. The assumptions inherent in the model and the data analysis are laid out in a clear, concise manner, and the techniques used are consistent with those employed by specialists in the field of CG modeling. One of the major tasks in building the Gō-like model is determining the relative strength of the nonbonded interactions between coarse-grained sites. New functionality has been added to CHARMMing to facilitate this process. The implementation of these features into CHARMMing helps automate many of the tedious aspects of constructing a CG Gō model. The CG model builder and its accompanying lesson should be a valuable tool to chemistry students, teachers, and modelers in the field.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Hungary 1 2%
India 1 2%
Czechia 1 2%
United Kingdom 1 2%
Ukraine 1 2%
Canada 1 2%
United States 1 2%
Unknown 58 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 26%
Researcher 13 20%
Professor 7 11%
Student > Bachelor 6 9%
Student > Master 6 9%
Other 8 12%
Unknown 8 12%
Readers by discipline Count As %
Chemistry 21 32%
Agricultural and Biological Sciences 9 14%
Biochemistry, Genetics and Molecular Biology 8 12%
Physics and Astronomy 4 6%
Engineering 4 6%
Other 10 15%
Unknown 9 14%