Published December 1, 2017
| public
Journal Article
PyLasso: a PyMOL plugin to identify lassos
Abstract
Entanglement in macromolecules is an important phenomenon and a subject of multidisciplinary research. As recently discovered, around 4% of proteins form new entangled motifs, called lassos. Here we present the PyLasso—a PyMOL plugin to identify and analyse properties of lassos in proteins and other (bio)polymers, as well as in other biological, physical and mathematical systems. The PyLasso is a useful tool for all researchers working on modeling of macromolecules, structure prediction, properties of polymers, entanglement in fluids and fields, etc.
Additional Information
© 2017 The Author. Published by Oxford University Press. Received: 20 April 2017; Revision Received: 05 July 2017; Accepted: 07 August 2017; Published: 14 August 2017. This work was supported by the National Science Centre [#2012/07/E/NZ1/01900 to J.I.S. and #2016/21/N/NZ1/02848 to P.D.-T.]; and the European Molecular Biology Organization [#2057 to J.I.S.] the Polish Ministry for Science and Higher Education [#0003/ID3/2016/64 to JS]. Conflict of interest: none declared.Additional details
- Eprint ID
- 82207
- DOI
- 10.1093/bioinformatics/btx493
- Resolver ID
- CaltechAUTHORS:20171009-103206135
- 2012/07/E/NZ1/01900
- National Science Centre (Poland)
- 2016/21/N/NZ1/02848
- National Science Centre (Poland)
- 2057
- European Molecular Biology Organization (EMBO)
- 0003/ID3/2016/64
- Ministry for Science and Higher Education (Poland)
- Created
-
2017-10-09Created from EPrint's datestamp field
- Updated
-
2021-11-15Created from EPrint's last_modified field