Experimental osmometry data and optimized force-field parameters associated with "Predictive all-atom simulations of disordered proteins and biomolecular condensates through osmometry-guided force-field optimization"
Year: 2026
Type: dataset
Abstract: This record contains experimental osmometry data and optimized all-atom force-field files from an osmometry-guided calibration of charged-group interactions in proteins and ions. The dataset accompanies the manuscript “Predictive all-atom simulations of disordered proteins and condensates via optimization of charged groups” and provides a reusable benchmark for predictive simulations of intrinsically disordered proteins and biomolecular condensates. For details, seehttps://www.biorxiv.org/content/10.64898/2026.08.25.747127v1
Institutions: University of Zurich, National Institutes of Health
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W7160280067