We are advancing in-silico pre-clinical development with in-depth analysis of protein sequences and structures!
From sequence ...
... to structure
LabSae focuses on answering four essential protein-related questions
Network
Which proteins are interacting with each other?
Conformations
In what conformation do two proteins interact?
Hotspots
Where are the crucial binding sites on the protein surface?
Mutations
How do mutations affect protein interactions?
Explore the impact of your therapeutic designs on biological systems
LabSae allows biopharma companies to capture the behavior of the therapeutic designs within biological systems. It predicts protein-protein and drug-protein interactions and identifies potential interaction sites, including hotspots and pockets.
Discover how deep learning is revolutionizing computational biology—check out our blogs!
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The in-silico pre-clinical development acts as the foundation for therapeutic discovery. Despite its importance, it often oversimplifies biological processes and suffers from various challenges, such as low predictive accuracy, small-scale analysis, and reliance on reference biological data. This creates a vicious try-and-error cycle between the pre-clinical and clinical phases to find suitable pharmaceutical interventions.
This problem stems from our very limited understanding of biological systems, which are primarily governed by proteins and their interactions. Large-scale computational approaches can address this problem and will enable us to dramatically improve our knowledge on proteins.
LabSae provides a holistic analysis of biological systems at molecular resolution.
Events!
mar. 19 nov.Paris19 nov. 2024, 09:30 – 19:30Paris, 12 Rue Lhomond, 75005 Paris, France
jeu. 04 juil.Paris04 juil. 2024, 09:30 – 14:00Paris, 2 - 10 Rue d'Oradour-sur-Glane, 75015 Paris, France