Author

Giulia D’Arrigo

Heidelberg Institute for Theoretical StudiesORCID 0000-0002-1113-2266Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Biophysics· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 2 Approach:statistical model· 2 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Research Focus:protein design· 1 Research Focus:protein folding & dynamics· 1 Assay:protein structure· 1

Frequent Co-Authors

Daria B. KokhiD· 2 shared Rebecca C. WadeiD· 2 shared Ariane Nunes‐AlvesiD· 1 shared Mislav Brajković· 1 shared Nico Herb· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 8 mutual co-author links

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2 shared papersBiophysics

Daria B. KokhORCID

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2 papers

Recent·Most cited

BiophysicsbioRxivPreprintAug 21, 2026

On the determinants of residence times and dissociation mechanisms of complexes of interleukin-13 with its low and high affinity receptors

Nico Herb, Mislav Brajković, Giulia D’Arrigo…·Rebecca C. Wade

This study uses molecular dynamics simulations to analyze how IL-13 binds and dissociates from its receptors, identifying key determinants of residence times and dissociation mechanisms.

1 citation

proteomicsdeep learning

𝕏 PostBluesky

BioinformaticsCommunications BiologyPeer-reviewedSep 17, 2024

Computational screening of the effects of mutations on protein-protein off-rates and dissociation mechanisms by {tau}RAMD

Giulia D’Arrigo, Daria B. Kokh, Ariane Nunes‐Alves, Rebecca C. Wade

This paper introduces {tau}RAMD, a method to compute protein-protein dissociation rates and mechanisms, showing good agreement with experimental data and identifying mutation-sensitive hotspots.

13 citations

protein structurestatistical model

𝕏 PostBluesky