Network view: 3D display and analysis of protein ·rNA interaction networks

John Eargle; Zaida Luthey-Schulten

doi:10.1093/bioinformatics/bts546

Network view: 3D display and analysis of protein ·rNA interaction networks

Research output: Contribution to journal › Article › peer-review

Abstract

Network view is an application for the display and analysis of protein · RNA interaction networks derived from structure and/or dynamics. These networks typically model individual protein residues and nucleic acid monomers as nodes and their pairwise contacts as edges with associated weights. NetworkView projects the network onto the underlying 3D molecular structure so that visualization and analysis of the network can be coupled to physical and biological properties. NetworkView is implemented as a plugin to the molecular visualization software VMD.

Original language	English (US)
Pages (from-to)	3000-3001
Number of pages	2
Journal	Bioinformatics
Volume	28
Issue number	22
DOIs	https://doi.org/10.1093/bioinformatics/bts546
State	Published - Nov 2012

ASJC Scopus subject areas

Statistics and Probability
Biochemistry
Molecular Biology
Computer Science Applications
Computational Theory and Mathematics
Computational Mathematics

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title = "Network view: 3D display and analysis of protein ·rNA interaction networks",

abstract = "Network view is an application for the display and analysis of protein · RNA interaction networks derived from structure and/or dynamics. These networks typically model individual protein residues and nucleic acid monomers as nodes and their pairwise contacts as edges with associated weights. NetworkView projects the network onto the underlying 3D molecular structure so that visualization and analysis of the network can be coupled to physical and biological properties. NetworkView is implemented as a plugin to the molecular visualization software VMD.",

author = "John Eargle and Zaida Luthey-Schulten",

note = "Funding Information: Funding: The National Center for Supercomputing Applications (MCA03T027); the National Institutes of Health (P41-RR05969) and the National Science Foundation (MCB-0844670 and PHY-0822613).",

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