Optimal Mutation Sites for PRE Data Collection and Membrane Protein Structure Prediction-Reference-Cited by-同舟云学术

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Optimal Mutation Sites for PRE Data Collection and Membrane Protein Structure Prediction

Published:2011-04 Issue:4 Volume:19 Page:484-495
ISSN:0969-2126
Container-title:Structure
language:en
Short-container-title:Structure

Author:

Chen Huiling,Ji Fei,Olman Victor,Mobley Charles K.,Liu Yizhou,Zhou Yunpeng,Bushweller John H.,Prestegard James H.,Xu Ying

Funder

National Science Foundation

National Institutes of Health

Georgia Cancer Coalition

Publisher

Elsevier BV

Subject

Molecular Biology,Structural Biology

Reference54 articles.

1. Stochastic proximity embedding;Agrafiotis;J. Comput. Chem.,2003

2. Mapping the human membrane proteome: a majority of the human membrane proteins can be classified according to function and evolutionary origin;Almen;BMC Biol.,2009

3. Toward high-resolution prediction and design of transmembrane helical protein structures;Barth;Proc. Natl. Acad. Sci. USA,2007

4. Prediction of membrane protein structures with complex topologies using limited constraints;Barth;Proc. Natl. Acad. Sci. USA,2009

5. Utilization of site-directed spin labeling and high-resolution heteronuclear nuclear magnetic resonance for global fold determination of large proteins with limited nuclear Overhauser effect data;Battiste;Biochemistry,2000

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3. Solution NMR spectroscopy of membrane proteins;Biochimica et Biophysica Acta (BBA) - Biomembranes;2020-09

4. The PRE-Derived NMR Model of the 38.8-kDa Tri-Domain IsdH Protein from Staphylococcus aureus Suggests That It Adaptively Recognizes Human Hemoglobin;Journal of Molecular Biology;2016-03

5. NMR of Membrane Proteins: Beyond Crystals;Advances in Experimental Medicine and Biology;2016

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