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dc.contributor.advisorZhang, Bin
dc.contributor.authorWang, Cong
dc.date.accessioned2026-03-16T15:44:27Z
dc.date.available2026-03-16T15:44:27Z
dc.date.issued2025-09
dc.date.submitted2025-09-16T14:46:42.088Z
dc.identifier.urihttps://hdl.handle.net/1721.1/165133
dc.description.abstractBiomolecular condensates formed by intrinsically disordered proteins (IDPs) play essential roles in cellular organization and function, attracting broad scientific interest. In addition to experimental approaches, molecular dynamics simulations—particularly atomistic simulations—serve as powerful tools for gaining mechanistic insights into IDP conformations and inter- and intramolecular interactions within condensates. In this work, we developed a multiscale simulation strategy that balances efficiency and accuracy by combining coarse-grained and atomistic modeling. We further applied dimensionality reduction techniques to extract meaningful features from high-dimensional simulation data. Using this integrated framework, we investigated three scientific problems: (1) the sequence-dependent conformational ensembles of IDPs, (2) nonspecific yet selective condensate–drug interactions, and (3) the mechanism of formation of monocomponent, multiphasic condensates formed by tetrapeptide sequences.
dc.publisherMassachusetts Institute of Technology
dc.rightsIn Copyright - Educational Use Permitted
dc.rightsCopyright retained by author(s)
dc.rights.urihttps://rightsstatements.org/page/InC-EDU/1.0/
dc.titleAtomistic Insights into Disordered Proteins and Condensates via Molecular Simulations
dc.typeThesis
dc.description.degreePh.D.
dc.contributor.departmentMassachusetts Institute of Technology. Department of Chemistry
dc.identifier.orcidhttps://orcid.org/0000-0001-5998-3740
mit.thesis.degreeDoctoral
thesis.degree.nameDoctor of Philosophy


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