Modernizing biomolecular NMR: The POKY suite.
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| Title: | Modernizing biomolecular NMR: The POKY suite. |
|---|---|
| Authors: | Chiu, Abigail1,2, Lee, Woonghee2,3 woonghee.lee@ucdenver.edu |
| Source: | Journal of Biological Chemistry. Mar2026, Vol. 302 Issue 3, p1-13. 13p. |
| Subjects: | Nuclear magnetic resonance spectroscopy, Integrated software, Structural models, Morphology, Frequency-domain analysis, Artificial intelligence, Data analysis, Automation |
| Abstract: | Biomolecular NMR spectroscopy has been a keystone in structural biology for decades. It can provide unique, atomiclevel insights into protein dynamics, interactions, and conformational ensembles. However, its complex workflows and fragmented data analysis pipelines are often perceived as significant barriers to entry. This review highlights the POKY suite as a comprehensive solution that modernizes and streamlines the entire biomolecular NMR process. From spectral processing to structure calculation, POKY creates a single user-friendly cyber infrastructure for a seamless and efficient NMR data analysis environment. A key aspect of its design is the integration of various artificial intelligence components to streamline complex tasks and reduce user burden, such as automation, unsupervised learning, and more. While recent advances within in silico artificial intelligence prediction models have raised questions about the role of experimental data, POKY provides a clear answer. This ecosystem can create a powerful synergy between the experimental data with structure prediction. Modernizing the experimental workflow, POKY makes NMR more accessible and powerful, reinforcing its vital role in structural biology. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Biological Chemistry is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 192571836 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Modernizing biomolecular NMR: The POKY suite. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Chiu%2C+Abigail%22">Chiu, Abigail</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22Lee%2C+Woonghee%22">Lee, Woonghee</searchLink><relatesTo>2,3</relatesTo><i> woonghee.lee@ucdenver.edu</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Biological+Chemistry%22">Journal of Biological Chemistry</searchLink>. Mar2026, Vol. 302 Issue 3, p1-13. 13p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Nuclear+magnetic+resonance+spectroscopy%22">Nuclear magnetic resonance spectroscopy</searchLink><br /><searchLink fieldCode="DE" term="%22Integrated+software%22">Integrated software</searchLink><br /><searchLink fieldCode="DE" term="%22Structural+models%22">Structural models</searchLink><br /><searchLink fieldCode="DE" term="%22Morphology%22">Morphology</searchLink><br /><searchLink fieldCode="DE" term="%22Frequency-domain+analysis%22">Frequency-domain analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis%22">Data analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Automation%22">Automation</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Biomolecular NMR spectroscopy has been a keystone in structural biology for decades. It can provide unique, atomiclevel insights into protein dynamics, interactions, and conformational ensembles. However, its complex workflows and fragmented data analysis pipelines are often perceived as significant barriers to entry. This review highlights the POKY suite as a comprehensive solution that modernizes and streamlines the entire biomolecular NMR process. From spectral processing to structure calculation, POKY creates a single user-friendly cyber infrastructure for a seamless and efficient NMR data analysis environment. A key aspect of its design is the integration of various artificial intelligence components to streamline complex tasks and reduce user burden, such as automation, unsupervised learning, and more. While recent advances within in silico artificial intelligence prediction models have raised questions about the role of experimental data, POKY provides a clear answer. This ecosystem can create a powerful synergy between the experimental data with structure prediction. Modernizing the experimental workflow, POKY makes NMR more accessible and powerful, reinforcing its vital role in structural biology. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Biological Chemistry is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.jbc.2026.111246 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 1 Subjects: – SubjectFull: Nuclear magnetic resonance spectroscopy Type: general – SubjectFull: Integrated software Type: general – SubjectFull: Structural models Type: general – SubjectFull: Morphology Type: general – SubjectFull: Frequency-domain analysis Type: general – SubjectFull: Artificial intelligence Type: general – SubjectFull: Data analysis Type: general – SubjectFull: Automation Type: general Titles: – TitleFull: Modernizing biomolecular NMR: The POKY suite. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Chiu, Abigail – PersonEntity: Name: NameFull: Lee, Woonghee IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 00219258 Numbering: – Type: volume Value: 302 – Type: issue Value: 3 Titles: – TitleFull: Journal of Biological Chemistry Type: main |
| ResultId | 1 |
