15 August 2025
Publication
PUXANO’s graphene grids resolved preferred orientation challenges in cryo-EM, enabling a high-resolution structure published in Cell Reports.
The article outlines how we are solving two of the most common challenges in biotech protein design and structural biology.
Improving Cryo-EM Sample Quality
Our proprietary PXN Grids help reduce common cryo-EM problems such as preferred orientation or protein dissociation, increasing the chances of achieving high-resolution structures.
Combining AI and Experimental Data
We’re going beyond AI-only predictions by integrating cryo-EM density maps and protein sequence data/ a hybrid modeling approach built on the OpenFold3/Boltz framework.
Our growth is fueled by key partnerships and support from organizations like VLAIO, which has backed us through development grants and a Baekeland Mandate, which enabled a four-year PhD research track focused on insect GPCRs in collaboration with UGent and VIB (read more about this here)
We’re also a lead partner in the FFplus project, funded by the European High-Performance Computing Joint Undertaking, combining cryo-EM and AI at scale. Collaborations with CSIC and IT4Innovations further strengthen our capabilities. (Read more about this here)
