Encoding and Relaying Information with Molecular Machines

Abstract

Since the emergence of life, Nature has relied on the evolution of molecular machines to drive the fundamental processes of complex organisms. Some of these machines, like the ribosome, process densely packed molecular-level information, which enables intricate mechanisms such as protein synthesis. However, the relay of information in synthetic molecular machines remains an underexplored domain. This thesis aims to demonstrate the potential of chirality as an encoding parameter for synthetic molecular machines. By harnessing chirality for the transmission of information at the molecular scale or across multiple scales, these machines can be further designed to perform useful tasks.

Date of Award	1 Aug 2024
Original language	English
Awarding Institution	The University of Manchester
Supervisor	David Leigh (Supervisor), Sarah Lovelock (Supervisor) & Daniel Tetlow (Supervisor)