Author

Giuseppe Maccari

The Pirbright InstituteORCID 0000-0002-2894-3583Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioengineering· 1 Bioinformatics· 1 Immunology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Assay:proteomics· 2 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Organism:mouse· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Alexander H. van Asbeck· 1 shared Arianna Nurrito· 1 shared Caterina Valoti· 1 shared Charalampos MakatsorisiD· 1 shared Cheng Yong ThamiD· 1 shared Craig T. MartiniD· 1 shared Daniel L. W. Dorey-RobinsoniD· 1 shared Denise GuerraiD· 1 shared

Activity by Year

2021-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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1 shared paperBioengineering

Alexander H. van Asbeck

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Phenuivirus glycoprotein Gc domain is a conserved target of cross-functional monoclonal antibodies

Denise Guerra, Edoardo Cherubini, Mabel RM Echague, Giuseppe Maccari, Gabriele Anichini, Caterina Valoti, Arianna Nurrito, Sandra O Zelech, Emma C. Ryan, Nicole V. Johnson, Gaya K. Amarasinghe, Margherita Sambo, Massimiliano Fabbiani, Francesca Montagnani, Maria Grazia Cusi, , Emanuele Andreano

This study isolates and characterizes monoclonal antibodies against Toscana virus's Gc glycoprotein, identifying cross-reactive antibodies that protect against Rift Valley Fever Virus.

bioRxiv · Oct 28, 2026 · PreprintImmunology

A Universal, AI-based Design Framework for Efficient Manufacturing of mRNA Therapeutics

Kuo‐Chieh Liao, Giuseppe Maccari, Giorgio Ciano, Roland G. Huber, Tobias von der Haar, Cheng Yong Tham, Nicholas Ting Xun Ong, Paola Flórez de Sessions, Tzuen Yih Saw, Ting Wei Lim, Craig T. Martin, Mark J. Dickman, Zoltan Kis, Charalampos Makatsoris, Alexander H. van Asbeck, , Duccio Medini

This paper introduces an AI framework to improve mRNA therapeutic manufacturing by predicting and optimizing sequence design for in vitro transcription efficiency.

bioRxiv · Mar 10, 2026 · PreprintBioengineering

IgMAT: immunoglobulin sequence multi-species annotation tool for any species including those with incomplete antibody annotation or unusual characteristics.

Daniel L. W. Dorey-Robinson, Giuseppe Maccari, Richard Borne, John A. Hammond

IgMAT annotates immunoglobulin sequences across species by using a reduced amino acid alphabet and user-defined databases to handle incomplete or unusual antibody annotations.

bioRxiv · Sep 22, 2021 · PreprintBioinformatics