Abstract A method for generating protein backbone models from backbone only NMR data is presented, which is based on molecular fragment replacement (MFR). In a first step, the PDB database is mined for homologous peptide fragments using experimental backbone-only data i.e. backbone chemical shifts (CS) and residual dipolar couplings (RDC). Second, this fragment library is refined against the experimental restraints. Finally, the fragments are assembled into a protein backbone fold using a rigid body docking algorithm using the RDCs as restraints. For improved performance, backbone nuclear Overhauser effects (NOEs) may be included at that stage. Compared to previous implementations of MFR-derived structure determination protocols this model-building algorithm offers improved stability and reliability. Furthermore, relative to CS-ROSETTA based methods, it provides faster performance and straightforward implementation with the option to easily include further types of restraints and additional energy terms.
Content Type Journal Article
Category Article
Pages 1-11
DOI 10.1007/s10858-012-9632-7
Authors
Georg Kontaxis, Max F. Perutz Laboratories, Department of Structural and Computational Biology, Centre for Molecular Biology, University of Vienna, Campus Vienna Biocenter 5, 1030 Vienna, Austria
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RDC derived protein backbone resonance assignment using fragment assembly
RDC derived protein backbone resonance assignment using fragment assembly
Abstract Experimental residual dipolar couplings (RDCs) in combination with structural models have the potential for accelerating the protein backbone resonance assignment process because RDCs can be measured accurately and interpreted quantitatively. However, this application has been limited due to the need for very high-resolution structural templates. Here, we introduce a new approach to resonance assignment based on optimal agreement between the experimental and calculated RDCs from a structural template that...
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[CNS Yahoo group] PDBePISA assembly, summary and XML data files available from the Pro
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The Protein Data Bank in Europe (PDBe; http://pdbe.org/) is pleased to announce the availability of PISA assembly files, summaries and associated XML
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