One binding event, different possible outcomes
An occupancy curve tells you how much target is engaged under its assumptions. This calculation asks what engagement means for the whole protein. In the FXI-dimer model, disabling one subunit may disable the pair, or leave the other subunit active. Those alternatives produce different attainable effects and different exposure requirements.
The measurement that changes the design
The model identifies subunit coupling as a decision-critical unknown. Turnover, activation, exposure and recovery are considered alongside it. The useful output is a feasibility condition: which biological assumption must hold for the proposed intervention to meet its objective?
What the model supports
This is computational mechanism analysis. Coupling and rate assumptions need experimental support; accessible chemistry, other protein pools and clinical safety remain separate questions. The result can justify a coupling experiment before a larger optimization effort.
Carry the mechanism into a regimen question
Once coupling is better established, a program could combine this calculation with capture/reversal kinetics or exposure modeling. Those connections need compatible inputs and a defined biological setting.
- Capture and reversal · Follow what happens after the first engagement. Capture and reversal
- Exposure over time · Check whether the required concentration can persist in the relevant compartment. Exposure over time