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Knot_pull-python package for biopolymer smoothing and knot detection.

Aleksandra I Jarmolinska1,2, Anna Gambin2, Joanna I Sulkowska1,3

  • 1Centre of New Technologies, Warsaw 02-097, Poland.

Bioinformatics (Oxford, England)
|September 11, 2019
PubMed
Summary

Knot_pull simplifies biopolymer knot analysis by providing a smoothing trajectory for visualizing complex protein, RNA, and chromatin structures. This command-line utility identifies knot types, links, and slipknots, making topological studies more accessible.

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Area of Science:

  • Biophysics
  • Computational Biology
  • Structural Biology

Background:

  • Studying topology in biopolymers is challenging due to the complex visualization of knots.
  • Existing methods require a steep learning curve for structure visualization.

Purpose of the Study:

  • To develop a user-friendly command-line utility for simplifying the analysis and visualization of knots in biopolymers.
  • To provide a tool for calculating knot types, including links and slipknots, in various biomolecular structures.

Main Methods:

  • Knot_pull is a Python-based command-line utility.
  • It processes biopolymer structures in PDB, CIF, or XYZ formats.
  • The utility generates a smoothing trajectory and calculates knot types, including slipknots for specified subchains.

Main Results:

  • Knot_pull successfully simplifies the process of identifying and visualizing knots in protein, RNA, and chromatin chains.
  • The tool can handle any number and length of polymer chains.
  • It accurately calculates knot types, links, and slipknots.

Conclusions:

  • Knot_pull significantly lowers the barrier to entry for topological studies in biopolymers.
  • The utility enhances the accessibility of knot analysis for researchers in structural biology and related fields.
  • Availability of source code and documentation promotes wider adoption and further development.