Mathematical modelling of multi-site protein-ligand interactions

Protein molecules with multiple binding sites play a fundamental role in regulation of a large number of ferments, ion channels and other cellular components. Mathematical modelling of multisite protein-ligand interactions which should be based on realistic assumptions is very important for understanding complex biological networks.

Frequently the experimental dose-response curves for multisite protein interactions with ligand are analysed using the Hill equation [1]. Although the Hill equation is widely used in biological pathways modelling as well as in pharmacodynamic studies [2], it is derived based on a physically unrealistic assumption according to which all ligand molecules simultaneously bind to a protein. In effect, this assumption is only valid in the case of extreme positive cooperativity.

We developed models for physically realistic consecutive and independent binding schemes and compared them with the Hill equation (Figure 1). It follows from this comparison that the "half-effect" concentration may significantly differ from the conventional Hill equation depending on the binding mechanism.

Comparison of multisite protein ligand binding models. The dose-response curves are shown for a protein with four binding sites using following kinetic schemes: a) the Hill equation; b) the consecutive binding; c) the independent binding. The same values have been used for all three models.

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We used our models to rigorously investigate mechanisms for second messenger activation by multisite proteins. We show that differential and selective activation of different targets by the same protein-ligand complex (Ca2+ and calmodulin, for example) can be achieved by biologically active non-saturated intermediate multisite protein-ligand complexes.

Authors and Affiliations

1. Department of Engineering, Control and Instrumentation Research Group,University of Leicester, University Road, Leicester, LE1 7RH, UK

   Najl V Valeyev, Ian Postlethwaite & Declan Bates

2. Biophysics & Bionics Lab, Department of Physics, Kazan State University, Kazan, 420008, Russia

   Najl V Valeyev & Nikolai V Kotov

Corresponding author

Correspondence to Najl V Valeyev.

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