Author

Jack B. Maguire

University of North Carolina at Chapel HillORCID 0000-0003-0581-6431Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:deep learning· 1 Approach:experimental assay· 1 Approach:graph neural network· 1 Research Focus:protein design· 1 Assay:protein structure· 1 Research Focus:sequence-to-function modeling· 1

Frequent Co-Authors

Vikram Khipple MulliganiD· 2 shared Ajasja LjubetičiD· 1 shared Amanda L. LoshbaughiD· 1 shared Amelie SteiniD· 1 shared Ameya HarmalkariD· 1 shared Andrew Leaver‐FayiD· 1 shared Andrew M. WatkinsiD· 1 shared Brahm J. YachniniD· 1 shared

Activity by Year

2021-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersBioinformatics

Vikram Khipple MulliganORCID

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2 papers

Recent·Most cited

BioinformaticsNature CommunicationsPeer-reviewedNov 29, 2021

Ensuring scientific reproducibility in bio-macromolecular modeling via extensive, automated benchmarks

Julia Koehler Leman, Sergey Lyskov, Steven Macauley Lewis…·Richard Bonneau

The paper presents a framework for ensuring reproducibility in bio-macromolecular modeling through automated benchmarks and a test server, demonstrating its utility for Rosetta and other tools.

26 citations

experimental assaybenchmarking

𝕏 PostBluesky

BioinformaticsPLoS Computational BiologyPeer-reviewedSep 27, 2021

XENet: Using a new graph convolution to accelerate the timeline for protein design on quantum computers

Jack B. Maguire, Daniele Grattarola, Eugene Klyshko…·Hans Melo

XENet improves protein design on quantum computers by reducing rotamer counts and problem size through enhanced graph convolution.

23 citations

protein structuregraph neural network

𝕏 PostBluesky