Skip to content
#protein folding Open access

Predictive all-atom simulations of disordered proteins and biomolecular condensates through osmometry-guided force-field optimization

Sep 2026 · bioRxiv · 0 citations · 87 references
Biology

Abstract

All-atom simulations with explicit solvent can provide a detailed and accurate description of dynamics and mechanisms in biomolecular systems, including intrinsically disordered proteins (IDPs) and their condensates. However, interactions involving charged residues and ions remain a persistent source of systematic error. Here we introduce an osmometry-guided optimization strategy that directly targets residue–residue, residue–ion and ion–ion interactions. Osmotic pressure provides key experimental information on molecular interactions and can be calculated directly and rapidly from simulations, enabling iterative force-field optimization. The resulting parameters improve agreement with single-molecule FRET data for IDPs, NMR relaxation data for an IDP–folded-domain complex, and chain dynamics and dimensions in biomolecular condensates of charged IDPs. For such condensates, simulations with our osmometry-optimized force field provide the missing link for predicting condensate dynamics across length and time scales. The strategy is broadly extensible to other interaction classes, including those governing protein–nucleic-acid assemblies.

Read PDF

Similar papers

Open access

Experimental data-guided parameterization and validation of an AMBER protein force field

An improved force field is developed, derived from its parent, Amber ff24EXP-GA, and its evaluation against Amber ff14SB and other contemporary force fields, such as CHARMM36m, in capturing the empirically determined conformational properties of unfolded systems: short peptides that serve as model systems for IDPs, and...

Athul Suresh, B. Urbanc · 0 citations
Preprint Jul 2026

Structure, Diffusion, and Relaxation in a Charge-Neutral ProTalpha-Histone H1 Condensate

Condensates formed by oppositely charged intrinsically disordered proteins provide model systems for understanding how transient electrostatic interactions govern structure and dynamics in biomolecular assemblies. Here we investigate a nearly charge-neutral condensate composed of 50 Prothymosin alpha (ProTalpha) and 40...

A. Bhattacharya · 0 citations
Open access Jul 2026

Development of United-Atom Force Fields for Monomeric and Oligomeric Ionic Liquids through Regression-Guided Optimization of Electronic Continuum Correction Parameters

Ionic liquids are salts that exist in the liquid state at room temperature and exhibit high viscosity because of their strong electrostatic interactions. It was difficult to reproduce their viscosity by molecular dynamics simulations with conventional nonpolarizable force fields; however, recent development of force fi...

Md Fahim Newaz, Takahiko Ikarashi, Takeshi Fukuma et al. · 0 citations
#protein folding Open access Aug 2026

Biomolecular Condensates Dictate the Folding Landscape of Protein Alpha-Helices.

This work investigates how protein folding landscapes are altered inside condensates, using the protein α-helix as a model folded domain and develops a chemically specific, residue-resolution model for quantification of α-helical folding and applies it to characterize diverse helices within condensates of varying physi...

Nathaniel Hess, Jerelle A. Joseph · 1 citation
Open access Jul 2026

Solvent-buffer effects in molecular dynamics simulations of nucleic acids

The results show that while the commonly used 10 Å buffer may be sufficient to maintain the stability of the double-stranded nucleic acid, larger cells are required to capture the conformational dynamics of single-stranded structures.

Nainsy Baghel, Pranchal Shrivastava, R. Mehra · 0 citations
Preprint Jul 2026

Aromatic Molecule Solvation in Liquid Water with Coupled Cluster Accuracy: The Balance of Pi-Interactions and Hydrophobicity

Aromatic organic solutes in water exhibit a delicate balance between hydrophobic solvation and directional O-H$\cdots \pi$ hydrogen bonds, yet widely used force fields and state-of-the-art density functional approaches struggle to provide a consistent picture of these pivotal interactions. We introduce a data-efficient...

N. Stolte, H. Forbert, Yu. Lysogorskiy et al. · 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.