Author

James H Prestegard

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

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

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

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperBioinformatics

Arthur S EdisonORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

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.

bioRxiv · Nov 3, 2026 · PreprintBioinformatics

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

Ethan H. Li, Laura E. Spaman, Roberto Tejero, Yuanpeng Janet Huang, Theresa A. Ramelot, Keith J. Fraga, James H. Prestegard, Michael A. Kennedy, 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.

bioRxiv · Jan 22, 2023 · PreprintBioinformatics