PUXANO technology platforms

By combining biotechnology, nanotechnology, and data science, PUXANO offers a proprietary technology platform designed to accelerate structure-based protein research, from sequence to structure. Our technologies address key bottlenecks in the standard structural biology pipeline, including construct design, protein expression, purification, and high-resolution structure determination. The innovative nature of our platform is evidenced by the numerous competitive regional and international research grants awarded to PUXANO since its inception.

PXN Grids: A Diverse and Specialized Electron Microscopy Grid Portfolio

PXN Grids are advanced, customizable electron microscopy grids designed for high-throughput cryo-EM sample screening. Developed by our expert nanoengineering team in a dedicated cleanroom, these grids are fabricated using semiconductor-grade techniques. We offer full customization of grid design, material, and composition, tailoring each grid to meet specific research needs. Options include square or hexagonal mesh frameworks in varying sizes, thin films (metallic or carbon) with holey patterns ranging from 2000 µm to 250 nm, and film thicknesses between 30 and 100 nm. Additionally, we can deposit continuous thin films, such as graphene, which can be functionalized to create affinity grids. Our proprietary grid portfolio is designed to overcome key challenges in cryo-EM, such as preferred particle orientation, uneven particle distribution, low protein yield, and suboptimal ice thickness. In addition to ultraflat holey cryo-EM and high-quality graphene grids, we have developed different speciality grids including Multi-hole grids with varying hole sizes, nanoparticle-specific cryo-EM grids, Tilted grids and Affinity grids functionalized with VHHs. These advanced grids, in combination with tailored grid priming techniques and customized image processing protocols, offer greater control over sample preparation and significantly enhance the success of cryo-EM projects. Some of the PUXANO grids can be purchased as a product. At this moment, we only ship single boxes of graphene grids with the following specifications: 300 mesh Au framework, 1.2/1.3 carbon foil, and single layer of graphene (> 80% coverage). The items can be purchased directly or via Science Exchange. Other grid types (Tilted, LNP-specific, …) can be accessed via a license agreement, which corresponds to a 1-year standing order. Please contact our Grid Department for more information.

AI protein design

Computational tools play a pivotal role in streamlining design-to-structure workflows, and at PUXANO, we are driving innovation in this area through the development of specialized software. Our tools integrate seamlessly with open-source platforms like AlphaFold 2, RF Diffusion, ProteinMPNN, and Relion, and are tailored specifically for protein design and structure determination. One such tool is procondor, a software solution that enables the retrieval, analysis, and integration of data from various public and proprietary databases, providing comprehensive insights into specific protein targets. These insights inform multiple protein design strategies, whether focused on preserving the native sequence or optimizing functional regions, all pursued in parallel. Each strategy undergoes rigorous in silico selection, significantly minimizing the need for extensive experimental validation in our Biochemical Services. Additionally, we are at the forefront of AI-driven tools for de novo protein structure prediction therebyintegrating experimental data, or diffusion-based protein design methods with as focus creating site-specific antigens or soluble analogues of membrane proteins. These tools are often developed in collaboration with academic and industrial partners under the EuroHPC and OpenFold open-source frameworks, as we believe sustainable and competitive growth in AI protein prediction requires collective open-source development of large-scale models and that the differentiation lays in the data and specific application optimization. Lastly, we are contributing to the development of automated image processing software for single-particle and nanoparticle analysis, aiming to establish a fully automated pipeline for processing cryo-EM data. This initiative enhances our throughput for resolving protein structures and performing quantitative analysis, aligning seamlessly with our innovations in cryo-electron microscopy grid development.

Interested in our technology platforms?