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PyLasso: a PyMOL plugin to identify lassos

Gierut, Aleksandra M. and Niemyska, Wanda and Dabrowski-Tumanski, Pawel and Sułkowski, Piotr and Sulkowska, Joanna I. (2017) PyLasso: a PyMOL plugin to identify lassos. Bioinformatics, 33 (23). pp. 3819-3821. ISSN 1367-4803. https://resolver.caltech.edu/CaltechAUTHORS:20171009-103206135

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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.


Item Type:Article
Related URLs:
URLURL TypeDescription
https://doi.org/10.1093/bioinformatics/btx493DOIArticle
https://academic.oup.com/bioinformatics/article/doi/10.1093/bioinformatics/btx493/4082267/PyLasso-a-PyMOL-plugin-to-identify-lassosPublisherArticle
ORCID:
AuthorORCID
Dabrowski-Tumanski, Pawel0000-0001-9412-1716
Sułkowski, Piotr0000-0002-6176-6240
Sulkowska, Joanna I.0000-0003-2452-0724
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.
Funders:
Funding AgencyGrant Number
National Science Centre (Poland)2012/07/E/NZ1/01900
National Science Centre (Poland)2016/21/N/NZ1/02848
European Molecular Biology Organization (EMBO)2057
Ministry for Science and Higher Education (Poland)0003/ID3/2016/64
Issue or Number:23
Record Number:CaltechAUTHORS:20171009-103206135
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20171009-103206135
Official Citation:Aleksandra M Gierut, Wanda Niemyska, Pawel Dabrowski-Tumanski, Piotr Sułkowski, Joanna I Sulkowska; PyLasso: a PyMOL plugin to identify lassos, Bioinformatics, Volume 33, Issue 23, 1 December 2017, Pages 3819–3821, https://doi.org/10.1093/bioinformatics/btx493
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:82207
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:09 Oct 2017 18:08
Last Modified:11 Feb 2020 19:14

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