Ontology highlight
ABSTRACT:
SUBMITTER: Kuenze G
PROVIDER: S-EPMC6834914 | biostudies-literature | 2019 Nov
REPOSITORIES: biostudies-literature
Structure (London, England : 1993) 20190912 11
Computational methods to predict protein structure from nuclear magnetic resonance (NMR) restraints that only require assignment of backbone signals, hold great potential to study larger proteins. Ideally, computational methods designed to work with sparse data need to add atomic detail that is missing in the experimental restraints. We introduce a comprehensive framework into the Rosetta suite that uses NMR restraints derived from paramagnetic labeling. Specifically, RosettaNMR incorporates pse ...[more]