Structure of Biomolecular Condensates from Dissipative Particle Dynamics Simulations
Shillcock, J. C.; Brochut, M.; Chenais, E.; Ipsen, J. H.
Show abstract
Phase separation of immiscible fluids is a common phenomenon in polymer chemistry, and is recognized as an important mechanism by which cells compartmentalize their biochemical reactions. Biomolecular condensates are condensed fluid droplets in cells that form by liquid-liquid phase separation of intrinsically-disordered proteins. They have a wide range of functions and are associated with chronic neurodegenerative diseases in which they become pathologically rigid. Intrinsically-disordered proteins are conformationally flexible and possess multiple, distributed binding sites for each other or for RNA. However, it remains unclear how their material properties depend on the molecular structure of the proteins. Here we use coarse-grained simulations to explore the phase behavior and structure of a model biomolecular condensate composed of semi-flexible polymers with attractive end-caps in a good solvent. Although highly simplified, the model contains the minimal molecular features that are sufficient to observe liquid-liquid phase separation of soluble polymers. The polymers condense into a porous, three-dimensional network in which their end-caps reversibly bind at junctions. The spatial separation of connected junctions scales with the polymer backbone length as a self-avoiding random walk over a wide range of concentration with a weak affinity-dependent prefactor. By contrast, the average number of polymers that meet at the junctions depends strongly on the end-cap affinity but only weakly on the polymer length. The regularity and porosity of the condensed network suggests a mechanism for cells to regulate biomolecular condensates. Interaction sites along a protein may be turned on or off to modulate the condensates porosity and tune the diffusion and interaction of additional proteins.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Model biomolecular condensates have heterogeneous structure quantitatively dependent on the interaction profile of their constituent macromolecules 98%
- Membrane curvature sensing by model biomolecular condensates 96%
- Nonequilibrium switching of segmental states can influence compaction of chromatin 96%
Similar papers in this journal
- Role of Strong Localized vs. Weak Distributed Interactions in Disordered Protein Phase Separation 98%
- Intrinsically disordered proteins can behave as different polymers across their conformational ensemble 96%
- Investigating the effects of molecular crowding on the kinetics of protein aggregation 96%
Similar papers in this journal
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.