Extending the eNOE data set of large proteins by evaluation of NOEs with unresolved diagonals
 

Extending the eNOE data set of large proteins by evaluation of NOEs with unresolved diagonals

Abstract

The representation of a proteinâ??s spatial sampling at atomic resolution is fundamental for understanding its function. NMR has been established as the best-suited technique toward this goal for small proteins. However, the accessible information content rapidly deteriorates with increasing protein size. We have recently demonstrated that for small proteins distance restraints with an accuracy smaller than 0.1Â*Ã? can be obtained by replacing traditional semi-quantitative Nuclear Overhauser Effects (NOEs) with exact NOEs (eNOE). The high quality of the data allowed us to calculate structural ensembles of the small model protein GB3 consisting of multiple rather than a single state. The analysis has been limited to small proteins because NOEs of spins with unresolved diagonal peaks cannot be used. Here we propose a simple approach to translate such NOEs into correct upper distance restraints, which opens access to larger biomolecules. We demonstrate that for 16Â*kDa cyclophilin A the collection of such restraints extends the original 1254 eNOEs to 3471.



Source: Journal of Biomolecular NMR