Simulating self-assembly of nanoparticles in tumor environments
Name
894251236-MIT.pdf
Description
Full printable version
Size
4.36 MB
Format
Adobe PDF
Checksum (MD5)
e3148ce166dea875f3453496b0b39704
Author(s)
Nachum, Ofir
Advisor(s)
Sabine Hauert, Mieszko Lis, Sangeeta Bhatia and Srini Devadas.
Date Issued
2014
Publisher
Massachusetts Institute of Technology
Abstract
Self-assembly is important in nanomedicine and increasingly plays a role in drug-delivery or imaging applications in tumors. Predicting behavior and dynamics of nanoparticle systems is very difficult, especially when assembling and disassembling particles are involved. To address this challenge, the Bhatia lab has developed NanoDoc (http: //nanodoc.org), an online game that allows users around the world to design and simulate nanoparticle treatments. During this project, we were able to implement mechanisms to effectively describe and simulate self-assembly in NanoDoc. As a bench mark for our simulator, we show that we are able to reproduce laboratory experiments in the literature. The simulator was then made available to the crowd and a challenge was proposed that requires users to perform self-assembly in a scenario aimed at improving the accumulation of imaging agents in tumors.
Description
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2014.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 59-61).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
Persistent DSpace Link
