Skip to content
#protein folding Open access

A thermodynamic framework for mapping elastic recoil mechanism across the human proteome

Aug 2026 · bioRxiv · 0 citations
Biology

TL;DR

A sequence-derived thermodynamic framework is introduced that maps proteins according to the relative contributions of backbone conformational entropy and solvent entropy to elastic recoil, suggesting that elastic function is far more widespread than currently recognized.

Abstract

The folding thermodynamics of proteins are dominated by two opposing forces, the loss in backbone entropy and the packing of hydrophobic groups. The same forces are major contributors to the extension thermodynamics of elastic proteins with the distinction that both processes act in concert, favoring the higher chain and solvent entropy of a relaxed conformation. The relative entropic contributions specify the recoil mechanism; human elastin recoil is primarily driven by hydrophobic forces, whereas fly resilin has a rubber-like mechanism driven by backbone entropy. Despite the importance of elastic proteins to tissue biomechanics, few have been identified, let alone characterized to the same extent as elastin and resilin. We develop a thermodynamic framework that maps proteins by sequence-derived estimates of extension-induced backbone and solvent entropy changes. Putative elastic proteins are proposed and classified by recoil mechanism based on estimated thermodynamic features. Proteins that map to elastic regions are overrepresented by the skin proteome. The set of predicted elastic domains is further extended by incorporating sequence context embedded in protein language models. Protein domains with distinct thermodynamic recoil mechanisms cluster on the latent space manifold. Some of these domains are anticipated to have roles within molecular machines, expanding the scope of elastic protein function beyond mechanical materials like elastin and resilin. SIGNIFICANCE STATEMENT Elastic proteins enable tissues and molecular assemblies to store and recover mechanical energy, yet only a handful, such as elastin and resilin, have been characterized in detail. We introduce a sequence-derived thermodynamic framework that maps proteins according to the relative contributions of backbone conformational entropy and solvent entropy to elastic recoil. Applied to the human proteome, this approach identifies numerous candidate elastic proteins and domains enriched in skin, extracellular matrix, cytoskeletal, and macromolecular assembly functions. Integration with protein language models further reveals that proteins sharing similar recoil mechanisms form distinct neighborhoods in latent space despite limited sequence homology. These findings suggest that elastic function is far more widespread than currently recognized and provide a general strategy for discovering and mechanistically classifying elastic proteins across biological systems.

Read PDF

Similar papers

Open access Sep 2026

Single-Chain Conformational Fluctuation Regulates Phase Separation of Intrinsically Disordered Proteins

Intrinsically disordered proteins (IDPs) form biomolecular condensates through weak multivalent interactions, but the ensemble variables that control condensate stability and material properties remain incompletely defined. Most current descriptions emphasize sequence features or mean single-chain descriptors, such a...

Ci-Bo Feng, Shiqinrui Xu, Hai-Bin Su et al. · 0 citations
#protein folding Review Open access Oct 2026

Biomolecules under Pressure: Protein Phase Transitions from Folding to Misfolding, Aggregation, and Condensation

High hydrostatic pressure provides a unique and sensitive perturbation to protein structure, enabling direct measurement of volume changes associated with folding, misfolding, and assembly. Because pressure perturbs noncovalent forces while preserving covalent integrity, it reveals conformational intermediates that o...

J. L. Silva, G. C. de Andrade, M. A. Marques et al. · 0 citations
Open access Aug 2026

Investigating the structural changes of myosin under high pressure processing by molecular dynamics simulations

High-pressure processing (HPP) exerts paradoxical effects on myosin, simultaneously promoting molecular unfolding and supramolecular aggregation, yet the underlying mechanisms remain unresolved at atomic resolution. This study employed all-atom molecular dynamics simulations at gradient pressures (0.1-450 MPa) using co...

Xiaoyun Wang, Jie Tang, H. Ramaswamy et al. · 0 citations
2013

Path-metadynamics: A computational study of conformational transitions in proteins

The results demonstrate that path-metadynamics enables the calculation of rate constants, the localization of transition states, and the mapping of the free energy along a transition path described on a high-dimensional space.

G. D. Leines · 46 citations · ⚡1
Oct 2026

Thermodynamic landscapes of conformational regulation during intrinsically disordered protein fibrillation.

Amyloid fibrillation of intrinsically disordered proteins (IDPs) involves a disorder-to-order transition driven by complex sequence-dependent interactions. However, how amino acid sequences and conformational ordering reshape the multi-chain free-energy landscape during fibril formation remains poorly understood. Here,...

Rui-Jun Gao, Ming-Lun Li · 0 citations

Related blog posts

Google DeepMind Blog Sep 30, 2026

Introducing SynthID Bio

Proof of concept for watermarking AI-generated proteins while preserving biological function.

MIT News · Artificial Intelligence Aug 27, 2026

Looking beyond natural sequences

A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.