NMRtist

NMRtist automates analysis of protein NMR spectra to perform peak picking, chemical shift assignment, and derivation of protein three-dimensional structures from NMR data.

Key Features:

• Automated Peak Picking: Uses algorithmic analysis to identify peaks in NMR spectra for subsequent interpretation.
• Chemical Shift Assignment: Employs deep learning models to assign chemical shifts from NMR spectral data.
• Protein Structure Determination: Derives protein three-dimensional configurations from NMR data.
• Virtual Storage for Spectra Deposition: Provides deposition and storage of NMR spectra for archival and downstream analysis.

Scientific Applications:

• Structural Biology: Accelerates interpretation of protein NMR experiments and supports protein structure determination workflows.
• High-throughput NMR Analysis: Enables processing of large numbers of protein NMR spectra to support high-throughput studies.
• Data Archiving and Reuse: Facilitates deposition and reuse of NMR spectra within bioinformatics and computational studies.

Methodology:

Leverages deep learning algorithms trained on extensive datasets to perform peak picking and chemical shift assignment with high accuracy; models are optimized on large-scale computational resources and integrate cloud computing to handle large volumes of NMR data.