cyclic peptide binder design pipeline

Excited to share some recent results from our cyclic peptide binder design pipeline on the BioMedAI platform! 🧬✨

We’re still in the early beta stage, but we’re excited to see what the platform can do.

Cyclic peptides offer a compelling space in drug discovery, combining the specificity and affinity potential of biologics with some of the advantages of small molecules. However, designing peptides that achieve tight binding and deep pocket insertion remains a challenging computational problem. Most existing AI-driven drug design models are optimized for small molecules, while peptide and macrocycle design remains less explored, further challenged by limited public data.

Here’s a look at one of our latest designs docked into the target protein’s binding site:
🔹 Conformational Rigidity: The cyclic backbone can help constrain the peptide toward a binding-competent conformation.
🔹 Deep Pocket Insertion: The design shows strong shape complementarity, with side chains extending into hydrophobic and polar sub-pockets.
🔹 Targeted Contacts: Key functional groups are positioned to support favorable non-covalent interactions across the binding interface.

Computational drug design is making rapid strides, and macrocycles are becoming increasingly interesting tools for challenging targets.