首页 | 本学科首页   官方微博 | 高级检索  
     


Fast Assignment of 15N-HSQC Peaks using High-Resolution 3D HNcocaNH Experiments with Non-Uniform Sampling
Authors:Zhen-Yu?J.?Sun,Dominique?P.?Frueh,Philipp?Selenko,Jeffrey?C.?Hoch,Gerhard?Wagner  mailto:gerhard_wagner@hms.harvard.edu"   title="  gerhard_wagner@hms.harvard.edu"   itemprop="  email"   data-track="  click"   data-track-action="  Email author"   data-track-label="  "  >Email author
Affiliation:(1) Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA, 02115, U.S.A.;(2) Department of Molecular, Microbial, and Structural Biology, University of Connecticut Health Center, Farmington, CT, 06030, U.S.A.
Abstract:
We describe an efficient NMR triple resonance approach for fast assignment of backbone amide resonance peaks in the 15N-HSQC spectrum. The exceptionally high resolutions achieved in the 3D HncocaNH and hNcocaNH experiments together with non-uniform sampling facilitate error-free sequential connection of backbone amides. Data required for the complete backbone amide assignment of the 56-residue protein GB1 domain were obtained in 14 h. Data analysis was vastly streamlined using a ‘backbone NH walk’ method to determine sequential connectivities without the need for 13C chemical shifts comparison. Amino acid residues in the sequentially connected NH chains are classified into two groups by a simple variation of the NMR pulse sequence, and the resulting ‘ZeBra’ stripe patterns are useful for mapping these chains to the protein sequence. In addition to resolving ambiguous assignments derived from conventional backbone experiments, this approach can be employed to rapidly assign small proteins or flexible regions in larger proteins, and to transfer assignments to mutant proteins or proteins in different ligand-binding states.
Keywords:HNcocaNH  maximum entropy reconstruction  non-uniform sampling  sequential assignment  triple resonance experiment
本文献已被 PubMed SpringerLink 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号