Physics-driven coarse-grained models for understanding and engineering biomolecular condensates
ORAL · Invited
Abstract
*J.A.J. acknowledges start-up funds provided by the Department of Chemical and Biological Engineering and the Omenn–Darling Bioengineering Institute at Princeton University. J.A.J. also acknowledges research support from the Chan Zuckerberg Initiative DAF (an advised fund of Silicon Valley Community Foundation; grant 2023-332391), the National Institute of General Medical Sciences of the National Institutes of Health under Award Number R35GM155259, the National Science Foundation (NSF) through the Princeton University (PCCM) Materials Research Science and Engineering Center DMR-2011750, and an Innovation Fund from the School of Engineering and Applied Sciences at Princeton University.
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Publication: Joseph JA†*, Reinhardt A†*, Aguirre A, Chew PY, Russell KO, Espinosa JR, Garaizar A, and Collepardo‑Guevara R*. Physics‑driven coarse‑grained model for biomolecular phase separation with near-quantitative accuracy. Nature Computational Science, 1, 732–743 (2021).
Aierken D and Joseph JA*. Accelerated Simulations Reveal Physicochemical Factors Governing Stability and Composition of RNA Clusters. J. Chem. Theory Comput (2024).
Presenters
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Jerelle A Joseph
- Princeton University
- Chemical & Biological Engineering Princeton University, Omenn-Darling Bioengineering Institute
- Princeton