ArticleNature chemistry2025
Designing single-polymer-chain nanoparticles to mimic biomolecular hydration frustration.
Article in Nature chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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Who cites it
7 citing papers in PubMed.
- Self-driving lab for the data-driven design of single-chain polymer nanoparticles.Cell press blue · 2026Article
- Computational design of functional random heteropolymers through atomistic simulations.PloS one · 2026Article
- Multimerization interactions between protein-inspired single-chain random heteropolymers.PloS one · 2026Article
- Seeking Precise Protein-like Functions from Random Heteropolymer Ensemble and through Dimensionality Reduction.ACS central science · 2025Review
- Autonomous Discovery of Functional Random Heteropolymer Blends through Evolutionary Formulation Optimization.Matter · 2025Article
- Function without form in synthetic polymers mimicking protein hydration.Nature chemistry · 2025Article
- Sequence-Sensitivity in Functional Synthetic Polymer Properties.Angewandte Chemie (International ed. in English) · 2025Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Native folded proteins rely on sculpting the local chemical environment of their active or binding sites, as well as their shapes, to achieve functionality. In particular, proteins use hydration frustration-control over the dehydration of hydrophilic residues and the hydration of hydrophobic residues-to amplify their chemical or binding activity. Here we uncover that single-polymer-chain nanoparticles formed by random heteropolymers comprising four or more components can display similar levels of hydration frustration. We categorize these nanoparticles into three types based on whether either hydrophobic or hydrophilic residues, or both types, display frustrated states. We propose a series of physicochemical rules that determine the state of these nanoparticles. We demonstrate the generality of these rules in atomistic and simplified Monte Carlo models of single-polymer-chain nanoparticles with different backbones and residues. Our work provides insights into the design of single-chain nanoparticles, an emerging polymer modality that achieves the ease and cost of fabrication of polymeric material with the functionality of biological proteins.
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Registered trials
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