Computational investigations of folded self-avoiding walks related to protein folding
Jacques M. Bahi, Christophe Guyeux, Kamel Mazouzi, Laurent Philippe

TL;DR
This paper computationally investigates folded and unfoldable self-avoiding walks in relation to protein folding, revealing their equivalence for short walks and differences at typical protein lengths, with detailed methods and a new study tool.
Contribution
It demonstrates the equivalence and divergence of folded and unfoldable self-avoiding walks at various lengths and introduces a computational tool for their analysis.
Findings
Folded and unfoldable self-avoiding walks are equal for walks of length ≤14.
They differ for walks of length ≥108, common in proteins.
A detailed computational method and a new analysis tool are provided.
Abstract
Various subsets of self-avoiding walks naturally appear when investigating existing methods designed to predict the 3D conformation of a protein of interest. Two such subsets, namely the folded and the unfoldable self-avoiding walks, are studied computationally in this article. We show that these two sets are equal and correspond to the whole -step self-avoiding walks for , but that they are different for numerous , which are common protein lengths. Concrete counterexamples are provided and the computational methods used to discover them are completely detailed. A tool for studying these subsets of walks related to both pivot moves and proteins conformations is finally presented.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsProtein Structure and Dynamics · Glycosylation and Glycoproteins Research · Algorithms and Data Compression
