Located at the Centre for Genomic Regulation (CRG), we are a research group passionate about the intersection between proteins and technology, focusing on deep unsupervised generative models for protein design.
The design of custom-tailored proteins has the potential to solve many of our current problems, from the climate crisis to diseases.
Proteins are the workhorses of the cell, involved in all cellular processes. Besides, they catalyze rapid chemical reactions in mild conditions such as standard pressure and non-toxic solvents. With such attractive properties, it is no wonder Biochemists and Chemists have dreamed of designing proteins with customizable properties for decades. We believe that Artificial Intelligence is starting a revolution in this field, and it will radically change it forever.
Proteins are incredibly versatile input types, making them very attractive for deep learning training.
Proteins can be represented as primary sequences (text) and hence trained by language modeling. Proteins also have 3D structures, which makes them suitable for computer vision training. Lastly, proteins are dynamic, so they have unmatched potential to be treated as videos.
What we do
We combine unsupervised deep learning, web development, data analysis, large-scale molecular dynamics and experimental validation to design new proteins.
If you want to hear more, drop us an email!