Welcome to CELIA Lab
Protein folding is one of the hardest problems in science as it requires large and expensive compute power. Organizations like Folding@Home solves the distributed computing problem with 1M+ concurrent nodes from volunteers but lacks deep learning and analytical capabilities, while AlphaFold3 leverages AI to accurately predict protein structure but faces high query costs.
Celia is the next-gen AI platform to solve protein folding by combining AI and distributed computing, improving efficiency of protein simulations and reducing query costs by more than 10x.
Proteins are large, complex molecules made out of long chains of amino acids, which play critical roles in body functions like enzymes that break down food and hemoglobin that carries oxygen in blood. There are 20 different amino acids that can be combined in various sequences. Protein folding is the process for amino acids to form 2D structures that can then be “folded” into stable 3D shapes with functions.
Because “form defines function”, simulations allow researchers to understand the relationships between form and function, and various diseases like breast cancer, COVID-19 and Alzheimer’s disease.
Celia AI platform allows any research to simulate any protein economically. Our AI agent is then trained on the data to be able to accurately determine 3D shapes of proteins based only on the amino acid sequences. This significantly accelerates research timelines.
Celia uses the GROMACS software to simulate molecular dynamics, which involves long calculations that apply laws of physics repeatedly until optimized configuration is reached.
We are a group of passionate biochemists and AI researchers, and are hiring multiple positions at post-doctoral levels to work with us.