Recent Advances in NMR Protein Structure Prediction with ROSETTA.

ABSTRACT: Nuclear magnetic resonance (NMR) spectroscopy is a powerful method for studying the structure and dynamics of proteins in their native state. For high-resolution NMR structure determination, the collection of a rich restraint dataset is necessary. This can be difficult to achieve for proteins with high molecular weight or a complex architecture. Computational modeling techniques can complement sparse NMR datasets (<1 restraint per residue) with additional structural information to elucidate protein structures in these difficult cases. The Rosetta software for protein structure modeling and design is used by structural biologists for structure determination tasks in which limited experimental data is available. This review gives an overview of the computational protocols available in the Ro

SUBMITTER: Koehler Leman J 

PROVIDER: S-EPMC10178863 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature