# Contact Cluster Modeling of Allosteric Communication in PDZ Domains

**Authors:** Emanuel Dorbath, Fabian Rudolf, Adnan Gulzar, Gerhard Stock

PMC · DOI: 10.1021/acs.jpcb.5c07737 · The Journal of Physical Chemistry. B · 2026-01-10

## TL;DR

This paper introduces a new model for understanding how distant parts of proteins communicate, using contact clusters in PDZ domains.

## Contribution

The study proposes a contact cluster model to explain allostery through cooperative contact changes and cluster communication.

## Key findings

- Contact clusters in PDZ domains mediate allostery through cooperative changes and rigid secondary structures.
- Recurring clusters represent flexible modules like β-sheet connecting loops.
- Time scales of protein response correlate with motions of individual contact clusters.

## Abstract

Allostery, the intriguing phenomenon of long-range communication
between distant sites in proteins, plays a central role in biomolecular
regulation and signal transduction. While it is commonly attributed
to conformational rearrangements, the underlying dynamical mechanisms
remain poorly understood. The contact cluster model of allostery [J. Chem. Theory Comput.
2024, 20, 10731–10739]
identifies localized groups of highly correlated contacts that mediate
interactions between secondary structure elements. This framework
proposes that allostery proceeds through a multistep process involving
cooperative contact changes within clusters and communication between
distant clusters, transmitted through rigid secondary structures.
To demonstrate the validity and generality of the model, this Perspective
employs extensive molecular dynamics simulations (∼1 ms total
simulation time) of four different photoswitchable PDZ domains and
studies how different domains, ligands, and perturbations influence
both the contact clusters and their dynamical evolution. These analyses
reveal several recurring clusters that represent shared flexible structural
modules, such as loops connecting β-sheets, and show that the
characteristic time scales of the nonequilibrium protein response
can be directly associated with the motions of individual contact
clusters. Thus, the dynamic decomposition of PDZ domains into contact
clusters uncovers a modular, dynamics-based architecture that underlies
and facilitates long-range allosteric communication.

## Full-text entities

- **Genes:** HSP90AA1 (heat shock protein 90 alpha family class A member 1) [NCBI Gene 3320] {aka EL52, HEL-S-65p, HSP86, HSP89A, HSP90A, HSP90N}, IGKV7-3 (immunoglobulin kappa variable 7-3 (pseudogene)) [NCBI Gene 28905] {aka B1, IGKV73}, CDC42 (cell division cycle 42) [NCBI Gene 998] {aka CDC42Hs, G25K, TKS}, PARD6A (par-6 family cell polarity regulator alpha) [NCBI Gene 50855] {aka PAR-6A, PAR6, PAR6C, PAR6alpha, TAX40, TIP-40}, GPHA2 (glycoprotein hormone subunit alpha 2) [NCBI Gene 170589] {aka A2, GPA2, ZSIG51}, IGKV2D-28 (immunoglobulin kappa variable 2D-28) [NCBI Gene 28883] {aka A3, IGKV2D28}, BCL2A1 (BCL2 related protein A1) [NCBI Gene 597] {aka ACC-1, ACC-2, ACC1, ACC2, BCL2L5, BFL1}
- **Chemicals:** Thr (MESH:D013912), Lys (MESH:D008239), azobenzene (MESH:C009850), water (MESH:D014867), hydrogen (MESH:D006859), C6 (MESH:C117224), amide (MESH:D000577), Val (MESH:D014633), Glu (MESH:D018698), tetracycline (MESH:D013752), Azo (-)

## Full text

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## Figures

5 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12862798/full.md

## References

73 references — full list in the complete paper: https://tomesphere.com/paper/PMC12862798/full.md

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Source: https://tomesphere.com/paper/PMC12862798