TY - JOUR
T1 - Automated combined assignment of NOESY spectra and three-dimensional protein structure determination
AU - Mumenthaler, Christian
AU - Güntert, Peter
AU - Braun, Werner
AU - Wüthrich, Kurt
N1 - Funding Information:
The use of the computing facilities of the ETHZ-Cray J-90 SuperCluster Cooperation and of the NEC SX-4 supercomputer of the Centro Svizzero di Calcolo Scien-tifico is gratefully acknowledged. Financial support was obtained from the ETH Zürich, the Schweizerischer Na-tionalfonds (Project 31.32033.91, K.W.) and the U.S. National Science Foundation (Project BIR-9632326, W.B.). We thank M. Salzmann for reports on the use of NOAH/ DIANA with his protein structure determinations, and Mrs. E. Ulrich for the careful processing of the manuscript.
PY - 1997
Y1 - 1997
N2 - A procedure for automated protein structure determination is presented that is based on an iterative procedure during which the NOESY peak list assignment and the structure calculation are performed simultaneously. The input consists of a list of NOESY peak positions and a list of chemical shifts as obtained from sequence-specific resonance assignment. For the present applications of this approach the previously introduced NOAH routine was implemented in the distance geometry program DIANA. As an illustration, experimental 2D and 3D NOESY cross-peak lists of six proteins have been analyzed, for which complete sequence-specific 1H assignments are available for the polypeptide backbone and the amino acid side chains. The automated method assigned 70-90% of all NOESY cross peaks, which is on average 10% less than with the interactive approach, and only between 0.8% and 2.4% of the automatically assigned peaks had a different assignment than in the corresponding manually assigned peak lists. The structures obtained with NOAH/DIANA are in close agreement with those from manually assigned peak lists, and with both approaches the residual constraint violations correspond to high-quality NMR structure determinations. Systematic comparisons of the bundles of conformers that represent corresponding automatically and interactively determined structures document the absence of significant bias in either approach, indicating that an important step has been made towards automation of structure determination from NMR spectra.
AB - A procedure for automated protein structure determination is presented that is based on an iterative procedure during which the NOESY peak list assignment and the structure calculation are performed simultaneously. The input consists of a list of NOESY peak positions and a list of chemical shifts as obtained from sequence-specific resonance assignment. For the present applications of this approach the previously introduced NOAH routine was implemented in the distance geometry program DIANA. As an illustration, experimental 2D and 3D NOESY cross-peak lists of six proteins have been analyzed, for which complete sequence-specific 1H assignments are available for the polypeptide backbone and the amino acid side chains. The automated method assigned 70-90% of all NOESY cross peaks, which is on average 10% less than with the interactive approach, and only between 0.8% and 2.4% of the automatically assigned peaks had a different assignment than in the corresponding manually assigned peak lists. The structures obtained with NOAH/DIANA are in close agreement with those from manually assigned peak lists, and with both approaches the residual constraint violations correspond to high-quality NMR structure determinations. Systematic comparisons of the bundles of conformers that represent corresponding automatically and interactively determined structures document the absence of significant bias in either approach, indicating that an important step has been made towards automation of structure determination from NMR spectra.
KW - Error-tolerant target function
KW - NOESY assignment
KW - Protein structure determination
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U2 - 10.1023/A:1018383106236
DO - 10.1023/A:1018383106236
M3 - Article
C2 - 9460241
AN - SCOPUS:0031304082
SN - 0925-2738
VL - 10
SP - 351
EP - 362
JO - Journal of Biomolecular NMR
JF - Journal of Biomolecular NMR
IS - 4
ER -