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Updated: Dec 23, 2025

Bead Aggregation Assays for the Characterization of Putative Cell Adhesion Molecules
Published on: October 17, 2014
Molecular Recognition between Cadherins Studied by a Coarse-Grained Model Interacting with a Coevolutionary
1Department of Physics and Center for Complexity and Biosystems, Universitá degli Studi di Milano and INFN, via Celoria 16, Milano 20133, Italy.
Investigating cadherin dimerization conformations is key for tissue development and disease. This study uses a novel coarse-grained model to reveal sequence-specific dimeric states, aiding understanding of cadherin recognition mechanisms.
Area of Science:
- Biophysics
- Computational Biology
- Structural Biology
Background:
- Cadherin dimerization is crucial for tissue development and implicated in diseases like cancer.
- Experimental methods often miss transient or minority conformations vital for molecular recognition.
- All-atom simulations are computationally prohibitive for exploring large-scale cadherin conformational dynamics.
Purpose of the Study:
- To develop and apply a computationally efficient model for studying cadherin multichain conformations.
- To identify sequence-specific dimeric conformations of cadherins.
- To complement experimental data with simulation insights into cadherin recognition.
Main Methods:
- Utilized a coarse-grained protein model in implicit solvent.
- Developed a novel interaction potential using coevolutionary information from cadherin alignments and a statistical potential.
- Explored the conformational space of multichain cadherin systems.
Main Results:
- Identified novel dimeric cadherin conformations.
- Demonstrated that these conformations are sequence-specific.
- Validated simulation findings against experimental data.
Conclusions:
- The developed coarse-grained model effectively explores cadherin conformational space.
- Sequence-specific dimeric conformations play a role in cadherin recognition.
- This approach provides a valuable tool for understanding cadherin function and dysfunction.
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