Predicting the Interfacial Energy and Morphology of DNA Condensates
Sihan Liu, Andrej Ko\v{s}mrlj

TL;DR
This paper develops a theoretical and computational framework to predict DNA condensate morphologies by analyzing interfacial energies influenced by nanostar properties, providing design principles for complex biomolecular condensates.
Contribution
It introduces a combined Flory-Huggins and molecular dynamics approach to connect microscopic DNA nanostar features with macroscopic condensate morphologies.
Findings
Janus-like morphologies are common due to similar interfacial energies.
Nested morphologies are rare and require high asymmetry in nanostar properties.
Interfacial energy between dense phases can be tuned to control condensate architecture.
Abstract
The physics and morphology of biomolecular condensates formed through liquid-liquid phase separation underpin diverse biological processes, exemplified by the nested organization of nucleoli that facilitates ribosome biogenesis. Here, we develop a theoretical and computational framework to understand and predict multiphase morphologies in DNA-nanostar solutions. Because morphology is governed by interfacial energies between coexisting phases, we combine Flory-Huggins theory with coarse-grained molecular dynamics simulations to examine how these energies depend on key microscopic features of DNA nanostars, including size, valence, bending rigidity, Debye screening length, binding strength, and sticky-end distribution. The phase behavior of DNA nanostars is quantitatively captured by a generalized lattice model, in which the interplay between sticky-end binding energy and conformational…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsRNA Research and Splicing · DNA and Nucleic Acid Chemistry · RNA Interference and Gene Delivery
