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Massachusetts Institute of Technology

Computational insights into multivalently binding polymers

Abstract

dc:description.abstract

Multivalent binding is commonly used throughout biology to create strong, conformal bonds using multiple weak binding interactions simultaneously. Bonds are considered multivalent when multiple ligands on one species simultaneously bind to multiple receptors on another species. Together, this bond can be much stronger than the sum of its parts. Throughout this thesis, we use theory and coarse-grain Brownian dynamics simulations with specific reactive-binding to explore general characteristics of multivalent polymer interactions. Our simulations bridge length and timescales and can sample large polymer systems that bind targets at the sub-nanometer lengthscale. While the simulation and theory presented is very general and can be applied to many different systems of multivalent polymers, this thesis specifically explores consequences for two applications: multivalent polymers as decoys to inhibit infection and polymers as scaffolds for biocondensates.

Degree

thesis:*
Name thesis:degree_name
Doctoral
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Materials Science and Engineering
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2020

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Zumbro, Emiko.
Advisor dc:contributor.advisor
  • Alfredo Alexander-Katz.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/129045
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/129045

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Zumbro, Emiko.. Computational insights into multivalently binding polymers. Massachusetts Institute of Technology, 2020. https://hdl.handle.net/1721.1/129045