Automated optimisation of solubility and conformational stability of antibodies and proteins

Angelo Rosace; Anja Bennett; Marc Oeller; Mie M. Mortensen; Laila Sakhnini; Nikolai Lorenzen; Christian Poulsen; Pietro Sormanni

doi:10.1038/s41467-023-37668-6

Nature Communications (Apr 2023)

Automated optimisation of solubility and conformational stability of antibodies and proteins

Angelo Rosace,
Anja Bennett,
Marc Oeller,
Mie M. Mortensen,
Laila Sakhnini,
Nikolai Lorenzen,
Christian Poulsen,
Pietro Sormanni

Affiliations

Angelo Rosace: Centre for Misfolding Diseases, Yusuf Hamied Department of Chemistry, University of Cambridge
Anja Bennett: Centre for Misfolding Diseases, Yusuf Hamied Department of Chemistry, University of Cambridge
Marc Oeller: Centre for Misfolding Diseases, Yusuf Hamied Department of Chemistry, University of Cambridge
Mie M. Mortensen: Department of Purification Technologies, Global Research Technologies, Novo Nordisk A/S
Laila Sakhnini: Centre for Misfolding Diseases, Yusuf Hamied Department of Chemistry, University of Cambridge
Nikolai Lorenzen: Department of Biophysics and Injectable Formulation 2, Global Research Technologies, Novo Nordisk A/S
Christian Poulsen: Department of Mammalian Expression, Global Research Technologies, Novo Nordisk A/S
Pietro Sormanni: Centre for Misfolding Diseases, Yusuf Hamied Department of Chemistry, University of Cambridge

DOI: https://doi.org/10.1038/s41467-023-37668-6
Journal volume & issue: Vol. 14, no. 1
pp. 1 – 15

Abstract

Read online

Antibodies find key applications in research, diagnostics, and therapeutics, but their development can be impeded by poor stability or solubility. Here the authors developed a computational strategy that enables antibody optimisation, without affecting functionality.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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