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Updated: Oct 20, 2025

Author Spotlight: Exploring Intrinsically Disordered Protein Dynamics Through NMR Relaxation Experiments
Published on: November 1, 2024
nightshift: A Python program for plotting simulated NMR spectra from assigned chemical shifts from the Biological
1Center for Structural Biology, Center for Cancer Research, National Cancer Institute, Frederick, Maryland, USA.
Nightshift is a Python tool that simulates NMR spectra from BMRB chemical shifts. This enables visualization of protein structures and binding events, aiding biochemical and biophysical studies.
Area of Science:
- Biochemistry
- Biophysics
- Structural Biology
Background:
- Nuclear magnetic resonance (NMR) spectroscopy provides crucial site-specific data on protein local environments via chemical shifts.
- Assigned chemical shift data, stored in the Biological Magnetic Resonance Data Bank (BMRB), offers extensive information for biochemical and biophysical research.
- Utilizing BMRB data for practical applications, such as spectrum simulation, presents challenges.
Purpose of the Study:
- To introduce nightshift, a Python utility for simulating 2D and 3D NMR spectra.
- To enable users to generate various NMR spectra from BMRB-assigned chemical shifts.
- To facilitate the preview and examination of NMR spectra for proteins in the BMRB.
Main Methods:
- Development of a Python command-line utility and library named nightshift.
- Implementation of functions to simulate amide and methyl fingerprint spectra, backbone triple-resonance assignment spectra, and custom correlations.
- Utilizing assigned chemical shift data from the BMRB as input.
Main Results:
- Nightshift successfully simulates a range of NMR spectra, including standard and custom correlations.
- The tool can preview spectra for proteins with BMRB depositions, regardless of whether experiments were previously performed.
- Applications demonstrate the simulation of complex correlation spectra and binding events.
Conclusions:
- Nightshift provides a valuable tool for NMR spectroscopists and scientists to explore protein chemical shift data.
- The utility simplifies the visualization and analysis of NMR spectra, aiding in structural and binding studies.
- It supports both folded and intrinsically disordered proteins, expanding its applicability in structural biology.
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