CyToStruct: augmenting the network visualization of cytoscape with the power of molecular viewers
Open accessAbstract
It can be informative to view biological data, e.g., protein-protein interactions within a large complex, in a network representation coupled with three-dimensional structural visualizations of individual molecular entities. CyToStruct, introduced here, provides a transparent interface between the Cytoscape platform for network analysis and molecular viewers, including PyMOL, UCSF Chimera, VMD, and Jmol. CyToStruct launches and passes scripts to molecular viewers from the network's edges and nodes. We provide demonstrations to analyze interactions among subunits in large protein/RNA/DNA complexes, and similarities among proteins. CyToStruct enriches the network tools of Cytoscape by adding a layer of structural analysis, offering all capabilities implemented in molecular viewers. CyToStruct is available at https://bitbucket.org/sergeyn/cytostruct/wiki/Home and in the Cytoscape App Store. Given the coordinates of a molecular complex, our web server (http://trachel-srv.cs.haifa.ac.il/rachel/ppi/) automatically generates all files needed to visualize the complex as a Cytoscape network with CyToStruct bridging to PyMOL, UCSF Chimera, VMD, and Jmol.
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A complementary multiscale visualization strategy is to integrate 3D structural information with associated nodes in a hierarchy; software tools have been developed that display available 3D structural data for selected proteins and physical pairwise interactions in protein-protein interaction networks.
“A complementary multiscale visualization strategy is to integrate 3D structural information with associated nodes in a hierarchy; software tools have been developed that display available 3D structural data for selected proteins and physical pairwise interactions in protein-protein interaction networks (Morris et al., 2007; Mosca et al., 2013; Nepomnyachiy et al., 2015).”
From Mapping the multiscale structure of biological systems (2021) · cites this paper as Nepomnyachiy et al., 2015
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Self-citation
- Authors
- Nepomnyachiy, S., Ben-Tal, N., & Kolodny, R.
- Affiliations
- New York University (US)
- University of Haifa (IL)
- Corresponding author
- Kolodny, Rachel
- ORCID
- Kolodny, Rachel
- Venue
- Structure
- Publisher
- Elsevier BV
- Published
- 2015-05
- Volume
- 23
- Issue
- 5
- Pages
- 941-948
- ISSN
- 0969-2126 (ISSN-L)
- OpenAlex
- W2008136665
- Cited by
- 20
- References
- 53
- Citations by year
- 2025: 1 · 2023: 2 · 2022: 1 · 2021: 3 · 2019: 2 · 2018: 6 · 2017: 1 · 2016: 2 · 2015: 2
- FWCI
- 1.59
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Structure (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Physical Sciences › Materials Science › Materials Chemistry › Enzyme Structure and Function
- Keywords
- Cytoscape, network visualization, molecular visualization, protein-protein interaction, protein complexes, RNA-DNA complex, PyMOL, UCSF Chimera, VMD, Jmol, structural analysis, protein similarity, web server
- MeSH terms
- Proteins, User-Computer Interface, Computational Biology, Protein Interaction Maps
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