Knots and θ-Curves Identification in Polymeric Chains and Native Proteins Using Neural Networks-Reference-Cited by-同舟云学术

Knots and θ-Curves Identification in Polymeric Chains and Native Proteins Using Neural Networks

Published:2024-04-15 Issue:9 Volume:57 Page:4599-4608
ISSN:0024-9297
Container-title:Macromolecules
language:en
Short-container-title:Macromolecules

Author:

Bruno da Silva Fernando¹^ORCID,Gabrovšek Boštjan²³,Korpacz Marta¹⁴,Luczkiewicz Kamil¹⁵,Niewieczerzal Szymon¹,Sikora Maciej¹,Sulkowska Joanna I.¹^ORCID

Affiliation:

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

2. Faculty of Mechanical Engineering, University of Ljubljana, Aškerčeva 6, Ljubljana 1000, Slovenia

3. Institute of Mathematics, Physics and Mechanics, Jadranska ulica 19, Ljubljana 1000, Slovenia

4. Faculty of Mathematics, Informatics and Mechanics, University of Warsaw, Banacha 2, Warsaw 02-097, Poland

5. Faculty of Physics, University of Warsaw, Pasteura 5, Warsaw 02-097, Poland

Funder

Javna Agencija za Raziskovalno Dejavnost RS

Narodowe Centrum Nauki

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.macromol.3c02479

Reference52 articles.

1. Learning to unknot

2. A neural network approach to predicting and computing knot invariants

3. On folding of entangled proteins: knots, lassos, links and θ-curves

4. Folding and functions of knotted proteins

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