z-logo
open-access-imgOpen Access
Prediction of favourable sites for spin labelling of proteins
Author(s) -
Yevhen Polyhach,
Gunnar Jeschke
Publication year - 2010
Publication title -
spectroscopy an international journal
Language(s) - English
Resource type - Journals
eISSN - 1875-922X
pISSN - 0712-4813
DOI - 10.1155/2010/706498
Subject(s) - labelling , site directed spin labeling , computational biology , electron paramagnetic resonance , sequence (biology) , chemistry , spin label , protein structure , computer science , nuclear magnetic resonance , physics , biology , biochemistry
Electron paramagnetic resonance studies on diamagnetic proteins are based on site-directed spin labelling and require relatively much effort for engineering cystein point mutations as well as expressing and labelling the protein. Therefore, it is advantageous to predict those sites and pairs of sites that can provide the most precise and most reliable information on accessibility and distances. Systematic site scans based on a rotamer library approach for spin label side groups allow for such predictions. Figures of merit are defined that can be used to rank sites according to their potential suitability in studies of structure and structural changes. Such site scans can still provide useful results if only a backbone model and the amino acid sequence of the protein are known.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom