Other/Unclassified

PROTAC target-engagement and degradation dynamics

A mechanistic pharmacodynamic model connecting PROTAC concentration, target and E3-ligase binding, catalytic degradation, protein turnover, and the high-concentration hook effect.

Explore and simulate

Therapeutic: Parameterized PROTAC
Target: generic POI, E3 ligase
Disease: Mechanistic target-degradation pharmacology

Biological model

A mechanistic pharmacodynamic model connecting PROTAC concentration, target and E3-ligase binding, catalytic degradation, protein turnover, and the high-concentration hook effect.

Biological schematic for PROTAC target-engagement and degradation dynamics — Biology-first schematic of the model structure.

Model details

A mechanistic pharmacodynamic model connecting PROTAC concentration, target and E3-ligase binding, catalytic degradation, protein turnover, and the high-concentration hook effect.

Modeled states

elapsed hh

Modeled dynamic state for elapsed h.
p hook reldimensionless

Modeled dynamic state for p hook rel.
p mech reldimensionless

Modeled dynamic state for p mech rel.

Key readouts

Mechanistic relative target proteindimensionless

Model-derived readout for mechanistic relative target protein.
Hook-model relative target proteindimensionless

Model-derived readout for hook-model relative target protein.
Simplified target engagementunknown

Model-derived readout for simplified target engagement.
Steady-state maximum degradationunknown

Model-derived readout for steady-state maximum degradation.
elapsed hh

Model-derived readout for elapsed h.

Explore this model

Choose a starting point to view its result. Adjust key model inputs when you want to explore a different outcome.

Starting configuration

Eq. 14 hook-model 6 h to 24 h RIPK2 degradation

How do binding affinity, catalytic rate, and PROTAC concentration determine target degradation and the hook effect? Explore this biological starting configuration through Mechanistic relative target protein, Hook-model relative target protein, Simplified target engagement, Steady-state maximum degradation. This is a mechanistic product exploration, not a paper-result reproduction.

Questions to explore

How do binding affinity, catalytic rate, and PROTAC concentration determine target degradation and the hook effect?

Starting result

This result reflects the starting settings. Run your changes to update it.

This scenario result is temporarily unavailable.

Model inputs

Five scientist-facing controls at most.

protac conc nm Model parameter controlling protac conc nm. nMkd p nm Model parameter controlling kd p nm. nMkd e nm Model parameter controlling kd e nm. nMkcat h Model parameter controlling kcat h. 1/ht half p h Model parameter controlling t half p h. h

Compare a parameter

How does one model input change the response?

How do binding affinity, catalytic rate, and PROTAC concentration determine target degradation and the hook effect?

Parameter to compare

protac conc nm

Model parameter controlling protac conc nm.

Exploratory range around the default value.

Low High Points

5 evenly spaced values in nM. Other model inputs and the simulation window stay fixed.

Interpret with care

Interpret trajectories as deterministic model behavior, not as a patient-specific prediction or dosing recommendation.
Paper-result and exact-anchor checks remain in the private validation lane and are not part of this public scenario.

Review the server-confirmed fixed price before starting the comparison.

Comparative response

End-of-window response across the selected parameter values.

Choose an exploratory range around the default, review the fixed price, and run the comparison.

Scientific reference

Supporting publication

A Mechanistic Pharmacodynamic Modeling Framework for the Assessment and Optimization of Proteolysis Targeting Chimeras (PROTACs)

Pharmaceutics