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

Nuclear magnetic resonance paramagnetic relaxation enhancement (PRE) measures long-range distances to isotopically labeled residues, providing useful constraints for protein structure prediction. The method usually requires labor-intensive conjugation of nitroxide labels to multiple locations on the...

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Veröffentlicht in:Structure (London) 2011-04, Vol.19 (4), p.484-495
Hauptverfasser: Chen, Huiling, Ji, Fei, Olman, Victor, Mobley, Charles K., Liu, Yizhou, Zhou, Yunpeng, Bushweller, John H., Prestegard, James H., Xu, Ying
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Sprache:eng
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Zusammenfassung:Nuclear magnetic resonance paramagnetic relaxation enhancement (PRE) measures long-range distances to isotopically labeled residues, providing useful constraints for protein structure prediction. The method usually requires labor-intensive conjugation of nitroxide labels to multiple locations on the protein, one at a time. Here a computational procedure, based on protein sequence and simple secondary structure models, is presented to facilitate optimal placement of a minimum number of labels needed to determine the correct topology of a helical transmembrane protein. Tests on DsbB (four helices) using just one label lead to correct topology predictions in four of five cases, with the predicted structures
ISSN:0969-2126
1878-4186
DOI:10.1016/j.str.2011.02.002