TY - JOUR TI - Improving the quality of protein NMR structures by Rosetta refinement and its application in molecular replacement DO - https://doi.org/doi:10.7282/T31J98JT PY - 2012 AB - This dissertation demonstrates restrained Rosetta refinement can improve the quality of protein NMR structures and describes a protocol to improve their phasing power. Recent studies manifest unrestrained Rosetta refinement can improve the stereochemical quality and geometry of protein NMR structures, to move NMR structures closer to their X-ray counterparts and consequently to improve their phasing power in a few cases. In this study, we intend to explore whether those observations stand corrected in general and the impact of incorporating NMR experimental restraints into Rosetta refinement. We developed a newer version of PdbStat software to convert Cyana/Xplor formatted restraints into Rosetta formatted restraints. Based on a dataset of 41 NESG NMR/X-ray structure pairs, we have done unrestrained and restrained Rosetta refinement for all the NMR structures. The knowledge based structural quality Z-scores are significantly improved by Rosetta refinement with or without restraints. Compared with unrestrained Rosetta refined structures, restrained Rosetta refined structures fit the experimental data better, are in better agreement with their X-ray counterparts and are generally of better phasing power, while unrestrained Rosetta refinement often drives the NMR structures further from their X-ray counterparts especially when the structural similarity between NMR structures and X-ray structures is high. To summarize, a majority of the experimental NMR restraints still apply for X-ray crystal structures determined at crystalline environment, and they can be utilized to guide Rosetta refinement to improve the quality of NMR structures. Molecular replacement (MR) is widely used for addressing the phase problem in X-ray crystallography. Historically, crystallographers have had limited success using NMR structures as MR search models. Here, we report a comprehensive investigation of the utility of protein NMR structures as MR search models, using a dataset of 25 NESG NMR/X-ray structure pairs. Starting from NMR ensembles prepared by an improved protocol, FindCore, correct MR solutions were obtained for 22 targets. Rosetta refinement of NMR structures provided MR solutions for another two proteins. We also demonstrate that such properly prepared NMR ensembles and X-ray crystal structures have similar performance when used as MR search models for homologous structures, particularly for targets with sequence identity >40%. KW - Biochemistry KW - Nuclear magnetic resonance KW - Proteins--Spectra LA - eng ER -