Author

James H Prestegard

University of GeorgiaORCID 0000-0002-1602-4790Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Organism:fungi (other)· 1 Assay:metabolomics· 1 Assay:protein structure· 1 Approach:statistical model· 1

Frequent Co-Authors

Arthur S EdisoniD· 1 shared Christopher EsselmaniD· 1 shared Ethan H. LiiD· 1 shared Gaetano Thomas MontelioneiD· 1 shared Keith J. FragaiD· 1 shared Laura E. SpamaniD· 1 shared Michael A. KennedyiD· 1 shared Roberto TejeroiD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperBioinformatics

Arthur S EdisonORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintNov 3, 2026

Singular Value Decomposition for the Automated Analysis of NMR Fraction Libraries

Christopher Esselman, Arthur S Edison, James H Prestegard

This paper introduces an automated method using singular value decomposition to analyze NMR fraction libraries for molecular component identification and quantification.

DOI 10.64898/2026.10.30.763183

fungi (other)metabolomics

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BioinformaticsbioRxivPreprintJan 22, 2023

Blind Assessment of Monomeric AlphaFold2 Protein Structure Models with Experimental NMR Data

Ethan H. Li, Laura E. Spaman, Roberto Tejero…·Gaetano Thomas Montelione

The paper assesses AlphaFold2 models against experimental NMR data for 9 monomeric proteins not used in training, finding they fit the data as well as or better than existing NMR structures.

6 citations

protein structuredeep learning

𝕏 PostBluesky