๐ฃ Citing POKY
If you use POKY in your research, please cite the POKY software paper below. The other
entries describe the predecessor tools (NMRFAM-SPARKY, PINE-SPARKY, PONDEROSA) that POKY's
automated assignment and structure-calculation features build on.
- 2026
- 2025
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2025
Automated Chemical Shift Assignments of MAS Solid-State NMR Spectra of Complex Protein Systems by ssPINE/ssPINE-POKYApplied Sciences, 15(12):6563
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2024
REDEN: Interactive multi-fitting decomposition-based NMR peak picking assistantJournal of Magnetic Resonance, 358:107600
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2023
Breaking boundaries: TINTO in POKY for computer vision-based NMR walking strategiesJournal of Biomolecular NMR, 77(5–6):217–228
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2022
A toolset for the solid-state NMR-based 3D structure calculation of proteinsJournal of Magnetic Resonance, 339:107214
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2022
ssPINE: probabilistic algorithm for automated chemical shift assignment of solid-state NMR data from complex protein systemsMembranes, 12(9):834
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2022
POKY software tools encapsulating assignment strategies for solution and solid-state protein NMR dataJournal of Structural Biology: X, 6:100073
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2021
POKY: a software suite for multidimensional NMR and 3D structure calculation of biomoleculesBioinformatics, 37(18):3041–3042
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2020
PISA-SPARKY: an interactive SPARKY plugin to analyze oriented solid-state NMR spectra of helical membrane proteinsBioinformatics, 36(9):2915–2916
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2018
PINE-SPARKY.2 for automated NMR-based protein structure researchBioinformatics, 34(9):1586–1588
- 2016
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2015
NMRFAM-SPARKY: enhanced software for biomolecular NMR spectroscopyBioinformatics, 31(8):1325–1327
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2014
PONDEROSA-C/S: client-server based software package for automated protein 3D structure determinationJournal of Biomolecular NMR, 60(2–3):73–75
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2011
PONDEROSA, an automated 3D-NOESY peak picking program, enables automated protein structure determinationBioinformatics, 27(12):1727–1728
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2009
PINE-SPARKY: graphical interface for evaluating automated probabilistic peak assignments in protein NMR spectroscopyBioinformatics, 25(16):2085–2087
๐ Complete & up-to-date list
For the complete, current list of Lee Research Group publications (including methods built on top of POKY), see Google Scholar or the official POKY Team website.