Published in

Elsevier, Structure, 2(20), p. 227-236, 2012

DOI: 10.1016/j.str.2012.01.002

Links

Tools

Export citation

Search in Google Scholar

Blind Testing of Routine, Fully Automated Determination of Protein Structures from NMR Data

This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

Full text: Download

Green circle
Preprint: archiving allowed
Orange circle
Postprint: archiving restricted
Red circle
Published version: archiving forbidden
Data provided by SHERPA/RoMEO

Abstract

The protocols currently used for protein structure determination by nuclear magnetic resonance (NMR) depend on the determination of a large number of upper distance limits for proton-proton pairs. Typically, this task is performed manually by an experienced researcher rather than automatically by using a specific computer program. To assess whether it is indeed possible to generate in a fully automated manner NMR structures adequate for deposition in the Protein Data Bank, we gathered 10 experimental data sets with unassigned nuclear Overhauser effect spectroscopy (NOESY) peak lists for various proteins of unknown structure, computed structures for each of them using different, fully automatic programs, and compared the results to each other and to the manually solved reference structures that were not available at the time the data were provided. This constitutes a stringent "blind" assessment similar to the CASP and CAPRI initiatives. This study demonstrates the feasibility of routine, fully automated protein structure determination by NMR. Highlights Automated assignment and structure calculation from NMR NOESY spectra were assessed Routine, fully automated determination of protein structures is feasible Good stereochemical and geometric quality alone does not indicate structure accuracy