ReticularBlog
Insights and research on biological AI interpretability
March 12, 2025•10 min read
Breaking Open the Black Box: Making Protein Structure Prediction Interpretable
Our research on interpretable protein structure prediction was accepted at GEM Bio Workshop at ICLR 2025. We discuss our breakthrough approach and how it enables more precise antibody engineering with minimal experimental data.
NP
Nithin Parsan
Co-Founder
November 7, 2024•7 min read
Neurons Encoding Catalytic Serines: A Case Study on Interpretability in Protein Models
We demonstrate how two neurons in a protein language model encode the catalytic machinery of serine protease, showing how interpretability techniques can transfer to biological domains.
NP
Nithin Parsan
Co-Founder
October 20, 2024•5 min read
We've Launched on Y Combinator!
After months of hard work and development, we're excited to share our vision for steerable and interpretable AI for protein engineering with the world.
NP
Nithin Parsan
Co-Founder