Generalized correlation-based dynamical network analysis: a new high-performance approach for identifying allosteric communications in molecular dynamics trajectories-Reference-Cited by-同舟云学术

Generalized correlation-based dynamical network analysis: a new high-performance approach for identifying allosteric communications in molecular dynamics trajectories

Published:2020-10-07 Issue:13 Volume:153 Page:134104
ISSN:0021-9606
Container-title:The Journal of Chemical Physics
language:en
Short-container-title:J. Chem. Phys.

Author:

Melo Marcelo C. R.¹²³⁴^ORCID,Bernardi Rafael C.³⁵^ORCID,de la Fuente-Nunez Cesar⁴,Luthey-Schulten Zaida¹²³^ORCID

Affiliation:

1. Center for Biophysics and Computational Biology, University of Illinois at Urbana-Champaign, Champaign, Illinois 61801, USA

2. Department of Chemistry, University of Illinois at Urbana-Champaign, Champaign, Illinois 61801, USA

3. Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Champaign, Illinois 61801, USA

4. Machine Biology Group, Departments of Psychiatry and Microbiology, Institute for Biomedical Informatics, Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, Penn Institute for Computational Science, and Department of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA

5. Department of Physics, Auburn University, Auburn, Alabama 36849, USA

Funder

National Science Foundation

National Institutes of Health

Publisher

AIP Publishing

Subject

Physical and Theoretical Chemistry,General Physics and Astronomy

Link

http://aip.scitation.org/doi/am-pdf/10.1063/5.0018980

Reference99 articles.

1. Protein structural fluctuations during a period of 100 ps