Adaptive partitioning by local density-peaks: An efficient density-based clustering algorithm for analyzing molecular dynamics trajectories-Reference-Cited by-同舟云学术

Adaptive partitioning by local density-peaks: An efficient density-based clustering algorithm for analyzing molecular dynamics trajectories

Published:2016-11-21 Issue:3 Volume:38 Page:152-160
ISSN:0192-8651
Container-title:Journal of Computational Chemistry
language:en
Short-container-title:J. Comput. Chem.

Author:

Liu Song¹,Zhu Lizhe¹²,Sheong Fu Kit¹,Wang Wei¹²,Huang Xuhui¹²

Affiliation:

1. Department of Chemistry; The Hong Kong University of Science and Technology; Clear Water Bay Kowloon Hong Kong

2. Center of Systems Biology and Human Health, State Key Laboratory of Molecular Neuroscience, The Hong Kong University of Science and Technology; Clear Water Bay Kowloon Hong Kong

Funder

Hong Kong Research Grant Council

National Science Foundation of China

Innovation and Technology Commission (ITCPD/17-9)

Publisher

Wiley

Subject

Computational Mathematics,General Chemistry

Reference50 articles.

1. Internal motions of antibody molecules

2. Molecular dynamics of native protein

3. Anton, a special-purpose machine for molecular dynamics simulation

4. Clustering to minimize the maximum intercluster distance

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