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Parameterizing elastic network models to capture the dynamics of proteins

Published:2021-06-11 Issue:23 Volume:42 Page:1643-1661
ISSN:0192-8651
Container-title:Journal of Computational Chemistry
language:en
Short-container-title:J Comput Chem

Author:

Koehl Patrice¹^ORCID,Orland Henri²,Delarue Marc³

Affiliation:

1. Department of Computer Sciences and Genome Center University of California Davis California USA

2. Institut de Physique Théorique Université Paris‐Saclay Gif sur Yvette France

3. Unité de Dynamique Structurale des Macromolécules Institut Pasteur, UMR 3528 du CNRS Paris France

Publisher

Wiley

Subject

Computational Mathematics,General Chemistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jcc.26701

Reference98 articles.

1. Utility of B-Factors in Protein Science: Interpreting Rigidity, Flexibility, and Internal Motion and Engineering Thermostability

2. Using NMR to study fast dynamics in proteins: methods and applications

3. Flexibility and packing in proteins

4. Contact Model for the Prediction of NMR N−H Order Parameters in Globular Proteins

Cited by 12 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. MinActionPath2: path generation between different conformations of large macromolecular assemblies by action minimization;Nucleic Acids Research;2024-05-23

2. Mixed structure- and sequence-based approach for protein graph neural networks with application to antibody developability prediction;2023-06-28

3. Statistical learning of protein elastic network from positional covariance matrix;Computational and Structural Biotechnology Journal;2023

4. The Application of Elastic Network Algorithm Based on Weighted Property in Clustering Analysis;IEEE Access;2023

5. Explicit versus implicit consideration of binding partners in protein–protein complex to elucidate intrinsic dynamics;Biophysical Reviews;2022-12

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