Controlling Superselectivity of Multivalent Interactions with Cofactors and Competitors
Tine Curk1, Galina V Dubacheva2, Alain R Brisson3
1Department of Materials Science and Engineering, Northwestern University, Evanston, Illinois 60208, United States.
Journal of the American Chemical Society
|September 14, 2022
Summary
Cofactors and competitors modulate multivalent binding interactions by simply rescaling individual bond affinities. This theoretical model explains superselectivity in biological recognition and nanomedicine applications.
Area of Science:
- Biochemistry
- Molecular Biophysics
- Chemical Biology
Background:
- Multivalent interactions are crucial in biological systems.
- The influence of competing or assisting molecules on multivalent binding is not well understood.
Purpose of the Study:
- To develop a theoretical model explaining how cofactors and competitors affect multivalent binding.
- To investigate the modulation of superselectivity in multivalent interactions.
Main Methods:
- Derivation of a theoretical model for multivalent interactions.
- Rescaling of individual ligand-receptor bond affinity constants.
- Experimental validation using annexin A5 and hyaluronan binding systems.
Main Results:
- A simple rescaling of affinity constants fully captures the role of cofactors and competitors.
- Theoretical predictions align with experimental data for annexin A5-lipid and hyaluronan-CD44 interactions.
- Superselectivity of multivalent interactions is shown to be modulated by participating moieties.
Conclusions:
- The findings provide a framework for understanding multivalent recognition in biological contexts.
- This work offers insights for designing selective multivalent nanoprobes in medicinal chemistry.
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