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BEGIN:VEVENT
UID:386769@gayout.com
DTSTAMP:20261102T185934Z
DTSTART:20261102T141000Z
DTEND:20261102T151000Z
SUMMARY:Accurate Coarse-Grained Simulations of Protein and RNA Phase Sepa
 ration ft. Jianhan Chen\\, UMass Amherst
DESCRIPTION:Physics Colloquium\\nAccurate Coarse-Grained Simulations of P
 rotein and RNA Phase Separation \\nwith Dr. Jianhan Chen\\nUniversity of 
 Massachusetts Amherst \\nAbstract: Biomolecular condensates are an import
 ant mechanism of subcellular compartmentalization and are closely associa
 ted with numerous cellular activities and human diseases. Formation of th
 ese membraneless organelles involves spontaneous phase transitions\\, dri
 ven by dynamic and multivalent biomolecules such as intrinsically disorde
 red proteins (IDPs) and single-stranded RNAs. Efficient coarse-grained (C
 G) simulations have been instrumental in working hand-in-hand with theory
  and experiment to understand the determinant\\, mechanism and properties
  of biomolecular condensates. The widely used single-bead CG protein and 
 RNA models\\, however\\, are severely limited in capturing the richness a
 nd complexity of the structure and interaction of dynamic protein and RNA
  molecules. To address these limitations\\, we recently developed a set o
 f higher-resolution CG models\\, including the hybrid resolution (HyRes) 
 protein model and intermediate-resolution models of condensates of RNA an
 d DNA (iConRNA and iConDNA)\\, to capture the interplay of various drivin
 g forces and transient structures in protein and nucleic acid phase separ
 ation. We believe that these new intermediate-resolution models represent
  important advances in molecular simulation of phase separation and will 
 provide powerful tools for functional studies and engineering of biomolec
 ular condensates.\\nBiography: Professor Chen’s research group focuses 
 on the development of theoretical and computational methods and applicati
 on of these methods to advance our understanding of biophysical\\, bioche
 mical and biomedical problems. The lab has made significant contributions
  to the field of molecular modeling and simulation\\, including advanced 
 conformational sampling algorithms\\, balanced implicit solvent protein f
 orce fields\\, GPU-accelerated simulation algorithms\\, and multi-scale p
 rotein and RNA modeling. We are also interested in physics-informed machi
 ne learning strategies to overcome data scarcity and to generate dynamic 
 conformation ensembles. These developments have been distributed in the w
 idely available CHARMM/OpenMM and MMTSB packages\\, as well as GitHub and
  the CCP-SAS website.\\nWith refreshments from Panera Bread\\nhttps://www
 .gayout.com/usa-canada/united-states/burlington/events/accurate-coarse-gr
 ained-simulations-of-protein-and-rna-phase-separation-ft-jianhan-chen-uma
 ss-amherst-2026-11-02
LOCATION:UVM Prism Center
URL:https://www.gayout.com/usa-canada/united-states/burlington/events/accurate-coarse-grained-simulations-of-protein-and-rna-phase-separation-ft-jianhan-chen-umass-amherst-2026-11-02
STATUS:CONFIRMED
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