Video tutorial
This video tutorial introduces beginners to the NMRtist system, guiding them through the process of submitting an automated protein structure determination job, and showcasing representative results from such a job.
ARTINA manuscript
Artificial Intelligence for NMR Applications (ARTINA) is a deep learning-based approach to fully automated NMR protein structure determination. The method takes as input only NMR spectra and the protein sequence, and delivers automatically: peak lists, shift assignments, distance restraints, and the structure.
NMRtist Use Cases
This article summarizes the most common use cases of NMRtist and ARTINA, such as structure-based chemical shift assignment, chemical shift transfer, or de novo protein structure determination.
Atom and residue name standards
NMRtist and ARTINA rely on atom and residue name standards defined in the CYANA library. The following article contains a fragment of the CYANA documentation that explains this standard and lists the CYANA library used in the NMRtist backend.
User Manual
The article explains the main concepts, terms and quantities present in the NMRtist system.
Getting started tutorial
This tutorial presents the first steps in the NMRtist system. It guides through account and project creation, data upload, and submission of an exemplary structure calculation job. You can go through the tutorial with your own data, or use one of our example datasets. We highly recommend doing this tutorial before making the first application call.