Author

David Damerell

University of OxfordORCID 0000-0003-3096-4241Unclaimed 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:drug response / drug discovery· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Aleksandr KovaltsukiD· 1 shared Brian D. MarsdeniD· 1 shared Charlotte Mary DeaneiD· 1 shared Claire M. Strain-DamerelliD· 1 shared Claire MarksiD· 1 shared Constantin SchneideriD· 1 shared Daniel Allen NissleyiD· 1 shared Daniel CuttingiD· 1 shared

Activity by Year

2018-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperBioinformatics

Aleksandr KovaltsukORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintOct 3, 2024

Computational design of developable therapeutic antibodies: efficient traversal of binder landscapes and rescue of escape mutations

Frédéric A. Dreyer, Constantin Schneider, Aleksandr Kovaltsuk…·Charlotte Mary Deane

This paper presents a computational pipeline for designing therapeutic antibodies using AI and physics-based methods, showing improved binding and developability across SARS-CoV-2 variants.

3 citations

proteomicsmachine learning (classical)

𝕏 PostBluesky

BioinformaticsBioinformaticsPeer-reviewedJul 3, 2018

SATurn: A modular bioinformatics framework for the design of robust maintainable web-based and standalone applications

David Damerell, Claire M. Strain-Damerell, Sefa Garsot…·Brian D. Marsden

SATurn is a modular bioinformatics framework for creating maintainable web and standalone applications, used to build a bioinformatics portal supporting diverse scientific research.

DOI 10.1093/bioinformatics/bty549

software / tool

𝕏 PostBluesky