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. 2020 Feb 1;36(3):953-955.
doi: 10.1093/bioinformatics/btz644.

Knot_pull-python package for biopolymer smoothing and knot detection

Aleksandra I Jarmolinska  1   2 , Anna Gambin  2 , Joanna I Sulkowska  1   3
Affiliations

Knot_pull-python package for biopolymer smoothing and knot detection

Aleksandra I Jarmolinska et al. Bioinformatics. .

Abstract

Summary: The biggest hurdle in studying topology in biopolymers is the steep learning curve for actually seeing the knots in structure visualization. Knot_pull is a command line utility designed to simplify this process-it presents the user with a smoothing trajectory for provided structures (any number and length of protein, RNA or chromatin chains in PDB, CIF or XYZ format), and calculates the knot type (including presence of any links, and slipknots when a subchain is specified).

Availability and implementation: Knot_pull works under Python >=2.7 and is system independent. Source code and documentation are available at http://github.com/dzarmola/knot_pull under GNU GPL license and include also a wrapper script for PyMOL for easier visualization. Examples of smoothing trajectories can be found at: https://www.youtube.com/watch?v=IzSGDfc1vAY.

Supplementary information: Supplementary data are available at Bioinformatics online.

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Figures

Fig. 1.
Fig. 1.
Some of the smoothing steps for the structure with RCSB PDB Id 3bjx, chain A, which contains a knot with 6 crossings when projected on a plane (61 knot)
See this image and copyright information in PMC

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