protac-degraders

Predict ternary complex stability for PROTAC degraders using integrated tools like PRosettaC, DeepTernary, AlphaFold3, and Boltz-1/2. These models calculate structural configurations and cooperativity to help you assess and optimize degradation efficiency.

Design PROTAC linkers by applying principles for optimal length, rigidity, and chemical compatibility. This Skill evaluates linker chemistry to ensure proper ternary complex formation, balancing flexibility and stability to maximize target protein degradation.

Characterize DC50 and Dmax to assess PROTAC degradation efficiency and identify potential hook effects. This analysis measures the concentration-dependent degradation profile to determine the optimal therapeutic window for your bivalent degrader.

Choose an E3 ligase like CRBN for PROTAC design based on target protein accessibility and binding cooperativity. This Skill provides a framework to evaluate different E3 ligases and their impact on ternary complex stability and degradation success.

You need RDKit and OpenMM installed to analyze PROTAC degraders, as this Skill relies on them for cheminformatics processing and molecular dynamics simulations. Various machine learning models are also required for full computational analysis.

Mitigate common PROTAC design failures by identifying per-tool failure modes and utilizing publicly available PROTAC databases for reference. This approach helps anticipate structural prediction errors and optimize ternary complex cooperativity.