Revealing Free Energy Landscape From MD Data via Conditional Angle Partition Tree-Reference-Cited by-同舟云学术

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Revealing Free Energy Landscape From MD Data via Conditional Angle Partition Tree

Published:2023-03-01 Issue:2 Volume:20 Page:1384-1394
ISSN:1545-5963
Container-title:IEEE/ACM Transactions on Computational Biology and Bioinformatics
language:
Short-container-title:IEEE/ACM Trans. Comput. Biol. and Bioinf.

Author:

Jiang Hangjin¹^ORCID,Li Han²,Wong Wing Hung³^ORCID,Fan Xiaodan⁴^ORCID

Affiliation:

1. Center for Data Science, Zhejiang University, Hangzhou, China

2. College of Economics, Shenzhen University, Shenzhen, China

3. Department of Statistics, Stanford University, Stanford, CA, USA

4. Department of Statistics, The Chinese University of Hong Kong, Hong Kong

Funder

National Science Foundation

Research Grants Council of the Hong Kong SAR

National Natural Science Foundation of China

Key R&D Program of Zhejiang

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Genetics,Biotechnology

Link

https://ieeexplore.ieee.org/ielam/8857/10091711/9767706-aam.pdf

Reference68 articles.

1. Replica-exchange molecular dynamics method for protein folding

2. Sidechain interactions in parallel β sheets: the energetics of cross-strand pairings

3. Multicanonical algorithms for first order phase transitions

4. The Protein Folding Network

5. How Fast-Folding Proteins Fold

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