The protein fitness landscape is rugged like the Swiss Alps, with each peak representing an optimal configuration. Bioinformatics serves as a gondola, enabling efficient navigation to desired fitness peaks.
About us
HomoLogiX leverages recent breakthroughs in AI-driven protein design to tackle the challenges of producing therapeutic proteins which are currently sourced from higher organisms. By designing functional homologs expressible in cost-effective bacterial systems, we address ethical concerns and immunogenicity risks associated with animal-derived proteins, enabling more sustainable and scalable biomanufacturing.
It's time to harness AI’s revolutionary advancements to solve real-world problems.
Committed to pragmatism.
Meet our teamProven track record.
Our outputsHow it works
Structural similarity
Thanks to the Nobel Prize-winning AlphaFold and derivatives, we can now model protein structures, compare topologies, and identify key regions, enabling us to:
- Identify true functional homologs
(proteins with similar activity) - Create highly diverse protein libraries
(to discover yet unmet functions)
Functional Homology
Despite widespread biological diversity, many core functions remain conserved across species. Modern structural bioinformatics helps us to identify and leverage functional relationships in proteins, even when their primary structures have diverged significantly. By understanding these structure-function relationships, we can utilize nature's protein diversity to discover enzymes with enhanced properties suitable for industrial applications.
Reverse Engineering
Recent AI breakthroughs, such as ProteinMPNN, allow for precise reverse engineering of proteins by generating sequences that match specific 3D structures. However, it's also crucial to ensure functional homology by identifying and preserving key residues essential for structural integrity and activity. These residues, involved in binding or catalysis, must be maintained to ensure the protein performs its intended function. Effective use of these tools requires expertise to control parameters, ensuring both accurate structure and functional performance.
