Health AI Central
Peer-Reviewed Publication
Commun Biol2024;7(1):922.July 31, 2024Journal Article

Biophysical cartography of the native and human-engineered antibody landscapes quantifies the plasticity of antibody developability.

Habib Bashour1,2, Eva Smorodina3, Matteo Pariset4, Jahn Zhong3,5, Rahmad Akbar3, Maria Chernigovskaya3, Khang Lê Quý3, Igor Snapkow6, Puneet Rawat3, Konrad Krawczyk7, Geir Kjetil Sandve8, Jose Gutierrez-Marcos9, Daniel Nakhaee-Zadeh Gutierrez4, Jan Terje Andersen3,10,11, Victor Greiff12
1Department of Immunology, University of Oslo and Oslo University Hospital, Oslo, Norway. habib.bashour@medisin.uio.no.
2School of Life Sciences, University of Warwick, Coventry, UK. habib.bashour@medisin.uio.no.
3Department of Immunology, University of Oslo and Oslo University Hospital, Oslo, Norway.
4Adaptyv Biosystems, Lausanne, Switzerland.
5Division of Genetics, Department Biology, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany.
6Department of Chemical Toxicology, Norwegian Institute of Public Health, Oslo, Norway.
7NaturalAntibody, Hamburg, Germany.
8Department of Informatics, University of Oslo, Oslo, Norway.
9School of Life Sciences, University of Warwick, Coventry, UK.
10Department of Pharmacology, University of Oslo and Oslo University Hospital, Oslo, Norway.
11Precision Immunotherapy Alliance (PRIMA), University of Oslo, Oslo, Norway.
12Department of Immunology, University of Oslo and Oslo University Hospital, Oslo, Norway. victor.greiff@medisin.uio.no.
PubMed PMC DOI PDF

Abstract

Designing effective monoclonal antibody (mAb) therapeutics faces a multi-parameter optimization challenge known as "developability", which reflects an antibody's ability to progress through development stages based on its physicochemical properties. While natural antibodies may provide valuable guidance for mAb selection, we lack a comprehensive understanding of natural developability parameter (D…

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