Protein design/engineering has entered a new era, fueled by the rise of reliable AI-based methods. This shift has transformed the design process into a powerful loop of scaffold generation, sequence prediction, and structural validation.
🔹 Scaffold generation allows us to create entirely new protein backbones tailored to specific functions.
🔹 Sequence design models propose amino acid sequences predicted to fold into those scaffolds.
🔹 Finally, structure validation tools assess which designs are most likely to adopt the desired 3D shape.
But predicting a structure is only the beginning. The next step is to validate the structure in real life.
At GIOS Biostructures, we bridge the gap between in silico design and real-world validation. Our MESO™ platform integrates the full pipeline, from AI-driven protein generation to wet-lab validation and X-ray crystallography. This allows us to not only design your ideal protein, but also express, purify, crystallize, and solve its structure. Interestingly, proteins generated using these next-gen approaches tend to behave well in the lab: soluble, stable, and crystallizable which makes them ideal candidates for structure determination.
Here’s a glimpse of the successful design optimization from our second project, a membrane protein. Now let’s make it real.
Curious what your AI-designed protein would look like in the real world?
Let’s build it together with MESO™.
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