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PISA-SPARKY: an interactive SPARKY plugin to analyze oriented solid-state NMR spectra of helical membrane proteins
- Source :
- Bioinformatics
- Publication Year :
- 2020
- Publisher :
- Oxford University Press, 2020.
-
Abstract
- Motivation Two-dimensional [15N-1H] separated local field solid-state nuclear magnetic resonance (NMR) experiments of membrane proteins aligned in lipid bilayers provide tilt and rotation angles for α-helical segments using Polar Index Slant Angle (PISA)-wheel models. No integrated software has been made available for data analysis and visualization. Results We have developed the PISA-SPARKY plugin to seamlessly integrate PISA-wheel modeling into the NMRFAM-SPARKY platform. The plugin performs basic simulations, exhaustive fitting against experimental spectra, error analysis and dipolar and chemical shift wave plotting. The plugin also supports PyMOL integration and handling of parameters that describe variable alignment and dynamic scaling encountered with magnetically aligned media, ensuring optimal fitting and generation of restraints for structure calculation. Availability and implementation PISA-SPARKY is freely available in the latest version of NMRFAM-SPARKY from the National Magnetic Resonance Facility at Madison (http://pine.nmrfam.wisc.edu/download_packages.html), the NMRbox Project (https://nmrbox.org) and to subscribers of the SBGrid (https://sbgrid.org). The pisa.py script is available and documented on GitHub (https://github.com/weberdak/pisa.py) along with a tutorial video and sample data. Supplementary information Supplementary data are available at Bioinformatics online.
- Subjects :
- Statistics and Probability
Magnetic Resonance Spectroscopy
Computer science
Lipid Bilayers
010402 general chemistry
computer.software_genre
01 natural sciences
Biochemistry
Spectral line
Computational science
03 medical and health sciences
Software
Plug-in
Molecular Biology
Nuclear Magnetic Resonance, Biomolecular
030304 developmental biology
0303 health sciences
business.industry
Membrane Proteins
Applications Notes
Structural Bioinformatics
Magnetic Resonance Imaging
0104 chemical sciences
Computer Science Applications
Visualization
Computational Mathematics
Computational Theory and Mathematics
Solid-state nuclear magnetic resonance
Membrane protein
business
computer
Rotation (mathematics)
Subjects
Details
- Language :
- English
- ISSN :
- 13674811 and 13674803
- Volume :
- 36
- Issue :
- 9
- Database :
- OpenAIRE
- Journal :
- Bioinformatics
- Accession number :
- edsair.doi.dedup.....3cb7c1c259b00bf4be68110980f512f9