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XIPP: multi-dimensional NMR analysis software.

Daniel S Garrett1, Mengli Cai2, G Marius Clore3

  • 1Laboratory of Chemical Physics, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, 20892-0520, USA. dgarrett@nih.gov.

Journal of Biomolecular NMR
|November 22, 2019
PubMed
Summary
This summary is machine-generated.

We introduce XIPP (eXtensible Interactive Peak Picker) NMR software, a new tool for analyzing multidimensional NMR data. It offers enhanced features for protein, DNA, and RNA studies, replacing the unsupported PIPP software.

Keywords:
Multidimensional NMRSpectral analysisSpectral assignment

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Area of Science:

  • Biochemistry
  • Structural Biology
  • Biophysics

Background:

  • Nuclear Magnetic Resonance (NMR) spectroscopy is crucial for determining the structure and dynamics of biomolecules.
  • Analyzing multidimensional NMR data requires specialized software for efficient and accurate peak picking and assignment.
  • The PIPP software suite was previously used but is no longer supported, necessitating an updated solution.

Purpose of the Study:

  • To present the XIPP (eXtensible Interactive Peak Picker) NMR software, designed for analyzing multidimensional NMR data.
  • To provide a flexible and extensible platform for various NMR studies, including protein, DNA, RNA, and their complexes.
  • To replace the outdated and unsupported PIPP software suite with a modern alternative.

Main Methods:

  • XIPP is developed using Java and Jython, enabling cross-platform compatibility and extensibility.
  • The software organizes NMR experiments into pre-defined study types, including backbone assignment, sidechain assignment, NOE assignment, and relaxation series.
  • Default study types are defined in Jython, allowing users to modify and extend them for custom analyses.

Main Results:

  • XIPP offers a structured approach to managing and analyzing multidimensional NMR datasets.
  • The software supports a range of common solution NMR experiments, facilitating backbone and sidechain assignments.
  • Jython-based study definitions allow for customization and the development of new analysis protocols.

Conclusions:

  • XIPP provides a powerful and adaptable software solution for NMR data analysis in structural biology.
  • Its extensible nature allows researchers to tailor the software to specific experimental needs and emerging NMR techniques.
  • The introduction of XIPP ensures continued support and advancement in the analysis of complex biomolecular NMR data.