Description
Diverse classes of proteins function through large-scale conformational changes and various sophisticated computational algorithms have been proposed to enhance sampling of these macromolecular transition paths.
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Contributors
- Seyler, Sean (Author)
- Kumar, Avishek (Author)
- Thorpe, Michael (Author)
- Beckstein, Oliver (Author)
- College of Liberal Arts and Sciences (Contributor)
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2015-10-21
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- Digital object identifier: 10.1371/journal.pcbi.1004568
- Identifier TypeInternational standard serial numberIdentifier Value1553-734X
- Identifier TypeInternational standard serial numberIdentifier Value1553-7358
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- The article is published at http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1004568, opens in a new window
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Seyler, S. L., Kumar, A., Thorpe, M. F., & Beckstein, O. (2015). Path Similarity Analysis: A Method for Quantifying Macromolecular Pathways. PLOS Computational Biology, 11(10). doi:10.1371/journal.pcbi.1004568