Author

Callum Stewart-McGuinness

Manchester Academic Health Science CentreORCID 0000-0002-1572-4402Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Organism:human· 1 Research Focus:protein structure prediction· 1 Assay:proteomics· 1

Frequent Co-Authors

Alexander EckersleyiD· 1 shared Christopher E.M. GriffithsiD· 1 shared Christopher I. PlattiD· 1 shared Fuyi LiiD· 1 shared Jerico RevoteiD· 1 shared Jiangning SongiD· 1 shared Matiss OzolsiD· 1 shared Michael J. SherrattiD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Alexander EckersleyORCID

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1 paper

Recent·Most cited

Predicting and validating protein degradation in proteomes using deep learning

Matiss Ozols, Alexander Eckersley, Christopher I. Platt, Callum Stewart-McGuinness, Sarah A. Hibbert, Jerico Revote, Fuyi Li, Christopher E.M. Griffiths, Rachel E. B. Watson, Jiangning Song, Mike Bell, Michael J. Sherratt

The paper develops a deep learning model to predict protein degradation by proteases and UVR/ROS in human skin, validated against experimental data and integrated into a web tool for proteome susceptibility analysis.

International Journal of Molecular Sciences · Mar 17, 2021Peer-reviewedBioinformatics