CaltechAUTHORS
Published December 1, 2017 | Version public
Journal Article Metadata-only

PyLasso: a PyMOL plugin to identify lassos

Creators

  • 1. ROR icon University of Warsaw
  • 2. ROR icon Jagiellonian University
  • 3. ROR icon California Institute of Technology

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

Identifiers

Eprint ID
82207
DOI
10.1093/bioinformatics/btx493
Resolver ID
CaltechAUTHORS:20171009-103206135

Related works

Describes
10.1093/bioinformatics/btx493 (DOI)

Funding

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

Dates

Created
2017-10-09
Created from EPrint's datestamp field
Updated
2021-11-15
Created from EPrint's last_modified field