PINE-SPARKY.2 for automated NMR-based protein structure research
By Woonghee Lee, John L. Markley. 2017
28 citations recorded by the source corpus.
Abstract Summary Nuclear magnetic resonance (NMR) spectroscopy, along with X-ray crystallography and cryoelectron microscopy, is one of the three major tools that enable the determination of atomic-level structural models of biological macromolecules. Of these, NMR has the unique ability to follow important processes in solution, including conformational changes, internal dynamics and protein–ligand interactions. As a means for facilitating the handling and analysis of spectra involved in these types of NMR studies, we have developed PINE-SPARKY.2, a software package that integrates and automates discrete tasks that previously required interaction with separate software packages. The graphical user interface of PINE-SPARKY.2 simplifies chemical shift assignment and verification, automated detection of secondary structural elements, predictions of flexibility and hydrophobic cores, and calculation of three-dimensional structural models. Availability and implementation PINE-SPARKY.2 is 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 to the SBGrid (https://sbgrid.org). For a detailed description of the program, see http://www.nmrfam.wisc.edu/pine-sparky2.htm. Supplementary information Supplementary data are available at Bioinformatics online.
Subfields: Materials Chemistry, Molecular Biology, Spectroscopy
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Materials Chemistry
In Molecular Biology
- Woonghee Lee
- John L. Markley
- Marco Tonelli
- Mehdi Rahimi
- Ira Manthey
- L. Ii
- Gabriel Cornilescu
- Torsten Schwede
In Spectroscopy
Citations in the corpus
- POKY software tools encapsulating assignment strategies for solution and solid-state protein NMR data (2022, methodology): “The I-PINE webserver can be accessed using the PINE-SPARKY.2 plugin (two-letter-code ep ) in POKY .”