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Massachusetts Institute of Technology

Computational approaches to understand the atomistic drivers of enzyme catalysis

Abstract

dc:description.abstract

Enzymes readily perform chemical reactions several orders of magnitude faster than their uncatalyzed versions in ambient conditions with high specificity, making them attractive design targets for industrial purposes. Traditionally, enzyme reactivity has been contextualized through transition-state theory (TST), in which catalytic strategies are described by their ability to minimize the activation energy to cross the reaction barrier through a combination of ground-state destabilization (GSD) and transition-state stabilization (TSS). While excellent progress has been made to rationally design enzymes, the complexity of the design space and the highly optimized nature of enzymes make general application of these approaches difficult. This thesis presents a set of computational methods and applications in order to investigate the larger perspective of enzyme-assisted kinetic processes.

Degree

thesis:*
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
2021

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Seelam, Natasha.
Advisor dc:contributor.advisor
  • Bruce Tidor.

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/1721.1/130672
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/130672

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

Seelam, Natasha.. Computational approaches to understand the atomistic drivers of enzyme catalysis. Massachusetts Institute of Technology, 2021. https://hdl.handle.net/1721.1/130672