PyLasso: a PyMOL plugin to identify lassos

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...

Full description

Saved in:
Bibliographic Details
Published inBioinformatics (Oxford, England) Vol. 33; no. 23; pp. 3819 - 3821
Main Authors Gierut, Aleksandra M, Niemyska, Wanda, Dabrowski-Tumanski, Pawel, Sułkowski, Piotr, Sulkowska, Joanna I
Format Journal Article
LanguageEnglish
Published England 01.12.2017
Subjects
Computational Biology - methods
Macromolecular Substances - chemistry
Models, Molecular
Protein Conformation
Proteins - chemistry
Software
Online AccessGet full text
ISSN1367-4803
1367-4811
1367-4811
DOI10.1093/bioinformatics/btx493

Cover

More Information
Summary: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. The PyLasso and tutorial videos are available at http://pylasso.cent.uw.edu.pl. jsulkowska@cent.uw.edu.pl.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:1367-4803
1367-4811
1367-4811
DOI:10.1093/bioinformatics/btx493