ArticleProtein science : a publication of the Protein Society2025
A coarse-grained model for disordered proteins under crowded conditions.
Article in Protein science : a publication of the Protein Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- What will be the future of computational biology for macromolecules in the era of AI?PLoS computational biology · 2026Article
- AI-Physics-Experiment Trinity for Integrated Protein Dynamics Modeling.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Sketching microprotein portraits.Protein science : a publication of the Protein Society · 2026Review
- Condensates as Conformation Editors of Disordered Client Proteins.Journal of the American Chemical Society · 2026Article
- From Molecular Interactions to Nanocarrier Design: Coarse-Grained Modeling of PEG Self-Assembly and Hindsiilactone Encapsulation.The journal of physical chemistry. B · 2026Article
- Repulsive vs Attractive Crowding Distinctly Regulate TDP-43 Condensates through Region-specific Structural Dynamics.JACS Au · 2025Article
- Accurate prediction of thermoresponsive phase behavior of disordered proteins.Protein science : a publication of the Protein Society · 2025Article
- A coarse-grained model for disordered proteins under crowded conditions.Protein science : a publication of the Protein Society · 2025Article
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3 authors.
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Abstract
Macromolecular crowding may strongly affect the dynamics and function of proteins, with intrinsically disordered proteins being particularly sensitive to their crowded environment. To understand the influences of crowding on chain compaction and phase separation (PS) behavior of disordered proteins, both experiments with synthetic crowders-like polyethylene glycol (PEG) and ficoll-and theoretical models and molecular simulation approaches have been applied. Here, we developed a residue-based coarse-grained model for PEG that is compatible with the protein CALVADOS model. To achieve this, we optimized model parameters by comparing simulations with experimental data on single-chain PEG and on PEG-induced compaction of disordered proteins. With our model we show how titrations of PEG can be used to quantify PS propensities of proteins that are not prone to phase separate strongly. We illustrate this for both variants of the low-complexity domain of hnRNPA1 (A1-LCD), and for wild-type and a redesigned variant of α-synuclein. Notably, we observe that the PEG crowding response changes between charge patterning variants of α-synuclein, which is not the case for the variants that vary the number of aromatic residues in the A1-LCD. We expect that our model will be useful for the interpretation of crowding experiments with disordered proteins, and we envisage it to be a starting point for explorations of proteins with weak propensities to phase separate.
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