Computational Design of Peptide Masks Enables Conditionally Active Miniprotein Therapeutics

Summary

This article presents a novel computational approach for designing conditionally active miniprotein binders through de novo peptide masks. The method addresses a key challenge in protein therapeutics: targets are often expressed in both diseased and healthy tissues, causing dose-limiting toxicities. The researchers engineered peptide masks that block the binding interface of miniproteins until they are cleaved by disease-associated proteases, enabling site-specific activation. The paper details the computational design pipeline, experimental validation, and demonstrates successful application across multiple therapeutic targets. This represents a significant advance in creating safer, more targeted protein therapeutics with improved therapeutic indices.

Source

Twitter / XComputational Design of Peptide Masks Enables Conditionally Active Miniprotein Therapeuticspubs.acs.org