15 August 2025
Publication
PUXANO’s graphene grids resolved preferred orientation challenges in cryo-EM, enabling a high-resolution structure published in Cell Reports.
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.
Fill out this form or contact us via info@puxano.com.
