Optimizing vaccine dosing kinetics for stronger antibody response

One of the barriers to rational vaccine design against evolving pathogens is our lack of mechanistic understanding of how innate and adaptive immune response systematically emerge and evolve. Immune response is comprised of dynamic events that require many components to cooperate collectively in a manner that spans a range of scales. These characteristics make it hard to predict mechanisms for immune response based solely on experimental observations. This thesis investigates various aspects of affinity maturation that are relevant to vaccination and therapeutic strategies but are not yet fully understood mechanistically, ranging from the evolution of the heterogeneity of the antibody population with respect to affinity to optimal design parameters for temporal dosing of vaccines. Our approach is to apply computational techniques to mathematically model the immune system, and being synergistic with complementary experiments. 1.

Name thesis:degree_name

Doctoral

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Chemical Engineering

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2019

Author dc:creator

• Kang, Myungsun(Myungsun Sunny)

Advisor dc:contributor.advisor

• Arup K. Chakraborty.

• Chemical Engineering.

Statement dc:rights

• MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

https://hdl.handle.net/1721.1/124586

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/124586