Generating Protein Folding Trajectories Using Contact-Map-Driven Directed Walks-Reference-Cited by-同舟云学术

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Generating Protein Folding Trajectories Using Contact-Map-Driven Directed Walks

Published:2023-03-30 Issue:7 Volume:63 Page:2181-2195
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Fakhoury Ziad¹,Sosso Gabriele C.¹^ORCID,Habershon Scott¹^ORCID

Affiliation:

1. Department of Chemistry, University of Warwick, Coventry CV4 7AL, United Kingdom

Funder

Engineering and Physical Sciences Research Council

Publisher

American Chemical Society (ACS)

Subject

Library and Information Sciences,Computer Science Applications,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.3c00023

Reference49 articles.

1. Protein Folding

2. Highly accurate protein structure prediction with AlphaFold

3. ‘It will change everything’: DeepMind’s AI makes gigantic leap in solving protein structures

4. Prevention of Transthyretin Amyloid Disease by Changing Protein Misfolding Energetics

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Contact-Map-Driven Exploration of Heterogeneous Protein-Folding Paths;Journal of Chemical Theory and Computation;2024-09-04

2. A Perspective on the Prospective Use of AI in Protein Structure Prediction;Journal of Chemical Information and Modeling;2023-12-21

3. Deep Learning-Based Prediction of A. thaliana’s MCTP4 Structure and Exploration of Transmembrane Dynamics using Coarse-Grained Molecular Dynamics Simulations;2023-08-07

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