Biomolecular condensates formed by intrinsically disordered proteins require molecular models that accurately describe proteins in both dilute solution and condensed phases. Explicit-solvent coarse-grained models offer an attractive balance between chemical resolution and computational efficiency. Yet, it remains unclear whether improving dilute-state properties is sufficient to obtain an accurate description of condensates. Here, we address this question by introducing minimal modifications to the Martini 3 force field that combine recent advances in bonded interactions with refined protein–water interactions and strengthened glycine self-interactions, while preserving the underlying chemical transferability of the model. The resulting model substantially improves the description of single-chain conformations across a diverse benchmark of disordered proteins. We then investigate phase separation of the well-characterized low-complexity domain of heterogeneous nuclear ribonucleoprotein A1 and its sequence variants. The model reproduces several key physicochemical properties of biomolecular condensates, including chain expansion in the dense phase, sequence-dependent intermolecular contacts, protein diffusion and its relation to single-chain dimensions, and hydration, while revealing quantitative limitations in condensate density, phase equilibria, and ion partitioning. Our results show that improving dilute-state behaviour translates into a better description of condensed-phase properties, including condensate density, but is not sufficient to quantitatively reproduce the equilibrium between the dilute and dense phases.
Fran Bačić Toplek, Luís Borges-Araújo, Kresten Lindorff-Larsen et al.· bioRxiv· 0 citations
Physics-based models of biomolecular systems that explicitly represent biomolecular structure and mechanics, such as atomistic molecular dynamics simulations are well-established because experimental data has been available to iteratively improve and validate models. Now, simulations of the biological mesoscale are growing in importance because of the improvements in experimental tools to visualise this regime. This includes techniques such as cryo-electron microscopy and tomography, microscopies that follow individual proteins in their cellular contexts, in situ scattering to follow the dynamic evolution of biomolecular assembly, and -omics tools. Together, these approaches alone and in combination have revealed the importance of interactomes that bridge multiple scales. Here we describe the theoretical, computational and cultural challenges that need to be overcome to gain an understanding of the biological mesoscale and offer potential solutions. This commentary is the result of a joint CECAM/CCPBioSim discussion workshop on how the community should address the challenges of biomolecular simulations at the mesoscale held in Trento, Italy in the summer of 2024. The aim is to provide a broad overview of the tools and techniques relevant to the biological mesoscale, and to signpost the reader to more detailed discussions within the cited literature.
Sarah Harris, Gianluca Lattanzi, Angelo Rosa et al.· Biophysical Journal· 0 citations
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