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Real-Time PyMOL Visualization for Rosetta and PyRosetta

Overview of attention for article published in PLOS ONE, August 2011
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Title
Real-Time PyMOL Visualization for Rosetta and PyRosetta
Published in
PLOS ONE, August 2011
DOI 10.1371/journal.pone.0021931
Pubmed ID
Authors

Evan H. Baugh, Sergey Lyskov, Brian D. Weitzner, Jeffrey J. Gray

Abstract

Computational structure prediction and design of proteins and protein-protein complexes have long been inaccessible to those not directly involved in the field. A key missing component has been the ability to visualize the progress of calculations to better understand them. Rosetta is one simulation suite that would benefit from a robust real-time visualization solution. Several tools exist for the sole purpose of visualizing biomolecules; one of the most popular tools, PyMOL (Schrödinger), is a powerful, highly extensible, user friendly, and attractive package. Integrating Rosetta and PyMOL directly has many technical and logistical obstacles inhibiting usage. To circumvent these issues, we developed a novel solution based on transmitting biomolecular structure and energy information via UDP sockets. Rosetta and PyMOL run as separate processes, thereby avoiding many technical obstacles while visualizing information on-demand in real-time. When Rosetta detects changes in the structure of a protein, new coordinates are sent over a UDP network socket to a PyMOL instance running a UDP socket listener. PyMOL then interprets and displays the molecule. This implementation also allows remote execution of Rosetta. When combined with PyRosetta, this visualization solution provides an interactive environment for protein structure prediction and design.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 151 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 9 6%
Germany 2 1%
Switzerland 2 1%
Korea, Republic of 2 1%
Spain 2 1%
India 1 <1%
Czechia 1 <1%
Canada 1 <1%
Colombia 1 <1%
Other 2 1%
Unknown 128 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 41 27%
Researcher 40 26%
Student > Master 20 13%
Student > Bachelor 14 9%
Other 6 4%
Other 20 13%
Unknown 10 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 58 38%
Biochemistry, Genetics and Molecular Biology 31 21%
Chemistry 23 15%
Computer Science 7 5%
Engineering 5 3%
Other 13 9%
Unknown 14 9%