Evolvable and rapidly adaptable monobodies: a broad-spectrum antiviral platform

HORIZON.2.1HORIZON-RIAID: 101137419
EC Contribution
€79,998
Consortium Size
11 orgs
Summary

With progress in globalization, expansion of human populations into natural habitats, and aggravation of climate change comes an increased risk of viral outbreaks. As demonstrated by the COVID-19 pandemic, not being prepared for such events has devastating consequences on public health, society and the economy. EvaMobs will improve preparedness of the European Union (EU) for the next viral outbreak(s) of pandemic potential by developing a platform for the discovery, development, production and validation of evolvable and rapidly adaptable antivirals. These innovative medicines will be based on small human-derived proteins called monobodies (Mobs). As Mobs can be engineered to have high binding affinity for virtually any viral protein, this platform can be easily adapted to a broad range of viruses, including newly emerging viruses and viral variants.To demonstrate the capacity of this platform it will first be applied to four pathogenic viruses with epidemic and/or pandemic potential: Influenza A, SARS-CoV-2, respiratory syncytial virus, and Zika virus. Deep-learning and computational design tools will allow generation of tailor-made Mobs with cryo-EM elucidating the molecular details of their binding interaction. Simple bacterial expression of Mobs, the development of a semi-automated high-throughput screening platform for evaluation of the Mobs’ stability and target affinity and streamlined in vitro and in vivo preclinical validation, will allow rapid development and selection of stable and potently neutralizing candidates. The Mob with the best preclinical indicators will then be tested in a phase I clinical trial after implementing a stable formulation and GMP production. The optimized platform can then be adapted to other viruses. Therefore, EvaMobs provides an innovative, robust and flexible platform for antiviral biologics development as well as a diverse portfolio of validated drugs, strengthening the EU’s pandemic preparedness.

Consortium (11)

Project Results (9)

Source: CORDIS, the EU research results database.

Publications (6)
Machine and deep learning to predict viral fusion peptides
Computational and Structural Biotechnology Journal· 2025DOI
A.M. Sequeira, M. Rocha, Diana Lousa
Unravelling the role of key amino acid residues of the parainfluenza fusion peptide in membrane fusion
RSC Chemical Biology· 2025DOI
Mariana Valério, Carolina C. Buga, Diogo A. Mendonça, Miguel A. R. B. Castanho, Manuel N. Melo, Cláudio M. Soares, Diana Lousa, Ana Salomé Veiga
FEBS Open Bio
FEBS Open Bio· 2024DOI
Mariana Valério; Carolina C. Buga; Manuel N. Melo; Cláudio M. Soares; Diana Lousa
MPO interacts with hRSV particles, contributing to the virucidal effects of NETs against clinical and laboratory hRSV isolates
International Journal of Biological Macromolecules· 2024DOI
Leonardo da Silva Pinto; Ronaldo Silva Alves Junior; Bruno Rafael Pereira Lopes; Gabriel Soares da Silva; Gabriela de Lima Menezes; Pedro Moreira; Juliana de Oliveira; Roosevelt Alves da Silva; Diana Lousa; Karina Alves Toledo
Dissemination and communication plan
Catalyze with support form all the partners
Project branding and website
Catalyze with support from all the partners
Deliverables (2)
Websites, patent fillings, videos etc.
Other Results (1)
Periodic Reporting for period 1 - EvaMobs (Evolvable and rapidly adaptable monobodies: a broad-spectrum antiviral platform)