Author

R. Georgelin

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Biochemistry· 1

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:protein folding & dynamics· 1 Assay:protein sequence· 1 Research Focus:sequence-to-function modeling· 1 Approach:statistical model· 1

Frequent Co-Authors

A. M. Damry· 1 shared B. M. Lee· 1 shared C. J. Jackson· 1 shared D. Matthews· 1 shared J. Saunders· 1 shared J. Ton· 1 shared M. A. Spence· 1 shared R. Frkic· 1 shared

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2024-2024 · peak 1/yr

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9 top collaborators · 36 mutual co-author links

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1 shared paperBiochemistry

A. M. Damry

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1 paper

Recent·Most cited

Ancestral reconstruction of polyethylene terephthalate degrading cutinases reveals a rugged and unexplored sequence-fitness landscape

V. Vongsouthi, R. Georgelin, D. Matthews, J. Saunders, B. M. Lee, J. Ton, A. M. Damry, R. Frkic, M. A. Spence, C. J. Jackson

This study uses ancestral sequence reconstruction to explore PET-degrading cutinase sequence space, revealing diverse evolutionary pathways and the effectiveness of LASE in mapping fitness landscapes.

bioRxiv · Apr 25, 2024Biochemistry