A Bayesian Nonparametric Approach to Single Molecule Förster Resonance Energy Transfer-Reference-Cited by-同舟云学术

A Bayesian Nonparametric Approach to Single Molecule Förster Resonance Energy Transfer

Published:2018-12-20 Issue:3 Volume:123 Page:675-688
ISSN:1520-6106
Container-title:The Journal of Physical Chemistry B
language:en
Short-container-title:J. Phys. Chem. B

Author:

Sgouralis Ioannis¹,Madaan Shreya²,Djutanta Franky³,Kha Rachael⁴,Hariadi Rizal F.¹³,Pressé Steve¹⁵^ORCID

Affiliation:

1. Center for Biological Physics, Department of Physics, Arizona State University, Tempe, Arizona 85287, United States

2. School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, Arizona 85287, United States

3. Biodesign Center for Molecular Design and Biomimetics, Biodesign Institute, Arizona State University, Tempe, Arizona 85287, United States

4. School for Engineering of Matter, Transport and Energy, Arizona State University, Tempe, Arizona 85287, United States

5. School of Molecular Sciences, Arizona State University, Tempe, Arizona 85287, United States

Funder

Division of Molecular and Cellular Biosciences

National Institute of Allergy and Infectious Diseases

Arizona Biomedical Research Commission

Publisher

American Chemical Society (ACS)

Subject

Materials Chemistry,Surfaces, Coatings and Films,Physical and Theoretical Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jpcb.8b09752

Reference76 articles.

1. Tavakoli, M.; Taylor, J.; Li, C.; Komatsuzaki, T.; Pressé, S. Single Molecule Data Analysis: An Introduction. arXiv preprint arXiv:1606.00403, 2016.

2. Single-Molecule Experiments in Vitro and in Silico

3. Single-molecule experiments in biological physics: methods and applications

4. Fluorescence resonance energy transfer (FRET) microscopy imaging of live cell protein localizations

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