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Online Size-exclusion and Ion-exchange Chromatography on a SAXS Beamline

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PyLasso: a PyMOL plugin to identify lassos.

Aleksandra M Gierut^1,2, Wanda Niemyska¹, Pawel Dabrowski-Tumanski^1,3

¹Centre of New Technologies, University of Warsaw, Banacha 2c, Warsaw, 02-097, Poland.

Bioinformatics (Oxford, England)

|September 30, 2017

Summary

This summary is machine-generated.

Researchers have discovered that about 4% of proteins form lasso structures. A new tool, PyLasso, helps identify and analyze these molecular entanglements in proteins and other polymers.

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Area of Science:

Biophysics
Computational Biology
Polymer Science

Background:

Macromolecular entanglement is a key phenomenon in various scientific disciplines.
Recent discoveries reveal that approximately 4% of proteins exhibit novel entangled motifs known as lassos.

Purpose of the Study:

To introduce PyLasso, a PyMOL plugin designed for identifying and analyzing lasso structures.
To provide a tool for researchers studying entanglement in diverse systems.

Main Methods:

Development of the PyLasso plugin for PyMOL.
Utilizing PyMOL's capabilities for visualization and analysis of macromolecular structures.

Main Results:

PyLasso enables the identification of lasso motifs in proteins and other (bio)polymers.
The plugin facilitates the analysis of properties associated with these entangled structures.

Conclusions:

PyLasso is a valuable tool for researchers in macromolecular modeling, structure prediction, and polymer properties.
The tool supports studies on entanglement in biological, physical, and mathematical systems.