Random Coil Index (RCI)
From NMR Wiki
author: David Wishart Research Group at the University of Alberta
project page: RCI
Overview
RCI method predicts protein flexibility by calculating the Random Coil Index from backbone chemical shifts and predicting values of model-free order parameters as well as per-residue RMSF of NMR and MD ensembles from the Random Coil Index.
The key advantages of this protocol over existing methods of studying protein flexibility are (i) it does not require prior knowledge of a protein's tertiary structure, (ii) it is not sensitive to the protein's overall tumbling and (iii) it does not require additional NMR measurements beyond the standard experiments for backbone assignments.
The application of secondary chemical shifts to characterize protein flexibility is based on an assumption that the close proximity of chemical shifts to random coil values is a manifestation of increased protein mobility, while significant differences from random coil values is an indication of a relatively rigid structure.
Even though chemical shifts of rigid residues may adopt random coil values due to specific values of torsion angles, combining the chemical shifts from multiple nuclei into a single parameter allows one to decrease the influence of these flexibility false positives. The improved performance originates from the different probabilities of random coil chemical shifts from different nuclei being found among amino acid residues in flexible regions versus rigid regions. Typically, residues in rigid helices or rigid beta-strands are less likely to have more than one random coil chemical shift among their backbone shifts than residues in mobile regions.
The actual calculation of the RCI involves several additional steps including the smoothing of secondary shifts over several adjacent residues, the use of neighboring residue corrections, chemical shift re-referencing, gap filling, chemical shift scaling and numeric adjustments to prevent divide-by-zero problems. 13C, 15 N and 1H secondary chemical shifts are then scaled to account for the characteristic resonance frequencies of these nuclei and to provide numeric consistency among different parts of the protocol. Once these scaling corrections have been done, the RCI is calculated. The ‘‘end-effect correction’’ can also be applied at this point. The last step of the protocol involves smoothing the initial set of RCI values by three-point averaging.
References
1. Mark V. Berjanskii and David S. Wishart (2005) A Simple Method To Predict Protein Flexibility Using Secondary Chemical Shifts J. Am. Chem. Soc., 2005, 127 (43), pp 14970–14971 [1]
2. Mark V. Berjanskii and David S. Wishart (2008) Application of the random coil index to studying protein flexibility. J Biomol NMR. 2008 Jan;40(1):31-48. Epub 2007 Nov 6. [2]