Assessing protein conformational landscapes: integration of DEER data in Maximum Occurrence analysis-Reference-Cited by-同舟云学术

Assessing protein conformational landscapes: integration of DEER data in Maximum Occurrence analysis

Published:2018 Issue:43 Volume:20 Page:27429-27438
ISSN:1463-9076
Container-title:Physical Chemistry Chemical Physics
language:en
Short-container-title:Phys. Chem. Chem. Phys.

Author:

Gigli Lucia¹²³⁴^ORCID,Andrałojć Witold¹²³⁴^ORCID,Dalaloyan Arina⁵⁶⁷⁸,Parigi Giacomo¹²³⁴^ORCID,Ravera Enrico¹²³⁴^ORCID,Goldfarb Daniella⁵⁶⁷⁸^ORCID,Luchinat Claudio¹²³⁴^ORCID

Affiliation:

1. CERM and Department of Chemistry “Ugo Schiff”

2. University of Florence

3. 50019 Sesto Fiorentino (FI)

4. Italy

5. Department of Chemical and Biological Physics

6. Weizmann Institute of Science

7. Rehovot 76100

8. Israel

Abstract

DEER data improve the understanding of protein conformational landscapes.

Funder

Seventh Framework Programme

H2020 Research Infrastructures

Israel Science Foundation

Publisher

Royal Society of Chemistry (RSC)

Subject

Physical and Theoretical Chemistry,General Physics and Astronomy

Link

http://pubs.rsc.org/en/content/articlepdf/2018/CP/C8CP06195E

Reference61 articles.

1. Enzyme Dynamics During Catalysis

2. Proteins flex to function

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4. Visualizing transient dark states by NMR spectroscopy

5. Formation of transient protein complexes

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