16 September 2026
Publication
Together with The Native Antigen Company, PUXANO used cryo-electron microscopy to investigate the structure of Chikungunya virus-like particles (CHIKV-VLPs).

This study focuses on developing and training a hybrid de novo protein structure prediction model, built on the Boltz/OpenFold3 framework. By integrating cryo-EM data with protein sequence information, the model aims to reduce structure hallucinations often observed in AI systems like AlphaFold3. Furthermore, the model will accelerate epitope mapping projects by screening 12-24 mAbs in parallel in a cost-efficient manner.
This project is driven in collaboration with:
CSIC: contributing cutting-edge expertise in image processing
IT4Innovations National Supercomputing Center: enabling high-performance computing
Read more about this project.
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