Author

Sam Butterworth

Manchester Academic Health Science CentreORCID 0000-0002-6549-3753Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Cell Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1 Organism:mouse· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Christopher M. ThomasiD· 1 shared Daniel Egbase· 1 shared David HopkinsiD· 1 shared Ella-Louise HubberiD· 1 shared Gavin A. BewickiD· 1 shared Henry Gerdes· 1 shared James Alexander PearsoniD· 1 shared Jay Kynaston· 1 shared

Activity by Year

2019-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperBioinformatics

Christopher M. ThomasORCID

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2 papers

Recent·Most cited

NAMPT activity plays a key role in driving autoimmune processes that characterize type 1 diabetes development in mice

Daniel Egbase, Sophie R. Sayers, Naila Haq, Jithu James Varghese, Vesela Gesheva, Sreya Bhattacharya, Jay Kynaston, Ella-Louise Hubber, Lorna I. F. Smith, Timothy J. Pullen, Henry Gerdes, Vivian K. Lee, David Hopkins, Min Zhao, Yee Cheah, , Paul Caton

This study shows that inhibiting NAMPT reduces inflammation and beta-cell damage in T1D by blocking cytokine-mediated immune responses in mice.

bioRxiv · Jan 14, 2025 · PreprintCell Biology

DeepCDpred: Inter-residue Distance and Contact Predictionfor Improved Prediction of Protein Structure.

Shuangxi Ji, Tuğçe Oruç, Liam Mead, Muhammad Fayyaz ur Rehman, Christopher M. Thomas, Sam Butterworth, Peter J. Winn

This paper introduces DeepCDpred, a method that predicts inter-residue distances and contacts to improve protein structure prediction, showing better results than contact prediction alone.

PLoS ONE · Jan 8, 2019Peer-reviewedBioinformatics