Measuring similarity between dynamic ensembles of biomolecules.
Publication
, Journal Article
Yang, S; Salmon, L; Al-Hashimi, HM
Published in: Nat Methods
May 2014
We present a simple and general approach termed REsemble for quantifying population overlap and structural similarity between ensembles. This approach captures improvements in the quality of ensembles determined using increasing input experimental data--improvements that go undetected when conventional methods for comparing ensembles are used--and reveals unexpected similarities between RNA ensembles determined using NMR and molecular dynamics simulations.
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Published In
Nat Methods
DOI
EISSN
1548-7105
Publication Date
May 2014
Volume
11
Issue
5
Start / End Page
552 / 554
Location
United States
Related Subject Headings
- Temperature
- Software
- RNA, Viral
- Protein Conformation
- Programming Languages
- Probability
- Nucleic Acid Conformation
- Molecular Dynamics Simulation
- Models, Theoretical
- Magnetic Resonance Spectroscopy
Citation
APA
Chicago
ICMJE
MLA
NLM
Yang, S., Salmon, L., & Al-Hashimi, H. M. (2014). Measuring similarity between dynamic ensembles of biomolecules. Nat Methods, 11(5), 552–554. https://doi.org/10.1038/nmeth.2921
Yang, Shan, Loïc Salmon, and Hashim M. Al-Hashimi. “Measuring similarity between dynamic ensembles of biomolecules.” Nat Methods 11, no. 5 (May 2014): 552–54. https://doi.org/10.1038/nmeth.2921.
Yang S, Salmon L, Al-Hashimi HM. Measuring similarity between dynamic ensembles of biomolecules. Nat Methods. 2014 May;11(5):552–4.
Yang, Shan, et al. “Measuring similarity between dynamic ensembles of biomolecules.” Nat Methods, vol. 11, no. 5, May 2014, pp. 552–54. Pubmed, doi:10.1038/nmeth.2921.
Yang S, Salmon L, Al-Hashimi HM. Measuring similarity between dynamic ensembles of biomolecules. Nat Methods. 2014 May;11(5):552–554.
Published In
Nat Methods
DOI
EISSN
1548-7105
Publication Date
May 2014
Volume
11
Issue
5
Start / End Page
552 / 554
Location
United States
Related Subject Headings
- Temperature
- Software
- RNA, Viral
- Protein Conformation
- Programming Languages
- Probability
- Nucleic Acid Conformation
- Molecular Dynamics Simulation
- Models, Theoretical
- Magnetic Resonance Spectroscopy