Boost development efficiency with high-throughput structural modeling
Accurately identify and annotate exposed liabilities and molecular properties, like hydrophobic patches and charge distributions, using high-throughput structural modeling. Compare candidate antibodies with clinically approved ones to assess developability and select diverse candidates with optimal developability profiles, enhancing efficiency and streamlining development.
- Easily prioritize more developable candidates during early hit selection
- Accurately predict exposed liabilities based on ML-generated 3D models
- Benchmark clones of interest against clinical antibodies
- Interrogate the liability patterns in detail on the sequence level.
- Easily compare and rank thousands of clones by overlaying intuitive summary statistics in any visualization