title: PyKnot: a PyMOL tool for the discovery and analysis of knots in proteins.
abstract: CONCLUSIONS
  Understanding the differences between knotted and unknotted protein structures may offer insights into how proteins fold. To characterize the type of knot in a protein, we have developed PyKnot, a plugin that works seamlessly within the PyMOL molecular viewer and gives quick results including the knot's invariants, crossing numbers and simplified knot projections and backbones. PyKnot may be useful to researchers interested in classifying knots in macromolecules and provides tools for students of biology and chemistry with which to learn topology and macromolecular visualization.
  
  
  BACKGROUND
  PyMOL is available at http://www.pymol.org. The PyKnot module and tutorial videos are available at http://youtu.be/p95aif6xqcM.
  
  
  BACKGROUND
  rhonald.lua@gmail.com.
authors.affiliation: Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA. rhonald.lua@gmail.com
authors.forename: Rhonald C
authors.initials: RC
authors.lastname: Lua
mesh_terms: D019295:Computational Biology / Q000379:methods*; D008958:Models, Molecular; D011487:Protein Conformation; D017510:Protein Folding; D011506:Proteins / Q000737:chemistry*; D012984:Software
chemical_list: D011506:Proteins