Breakthroughs in large-scale biological data collection have resulted in a wealth of -omics (genomics, metabolomics, etc.) datasets in the literature. However, the development of appropriate computational techniques for their analysis is lacking, yet crucial for fully extracting the rich information contained in these datasets. The work in this dissertation describes...
SAMDI-MS, which stands for self-assembled monolayers (SAMs) for matrix-assisted laser desorption ionization (MALDI) mass spectrometry (MS), is a powerful tool that has enabled the development of novel high-throughput screening and experimentation methods for decades. SAMDI-MS works by immobilizing analytes to functionalized SAMs prior to MS analysis and is capable of...
Proteins represent a critical class of biomolecules, universally employed by all living organisms to fulfill essential structural, functional, and enzymatic roles necessary to support life. In nature, these polymers are composed generally of twenty natural amino acid (AA) building blocks, which can be modified with covalent adducts known as post-translational...
The work in this thesis focuses on computational methods for the identification of novel enzymatic pathways. In particular this work focuses on the utilization of the Biological Network Integrated Computational Explorer (BNICE) software suite to predict de novo enzymatic pathways for the production of commercially relevant compounds and on improvements...
More than half of proteins in humans are modified with carbohydrates in a process called glycosylation, yet this process remains poorly understood even though approximately 1% of the expressed human genome encodes biosynthetic machinery for glycosylation. Unlike genomics and proteomics where high throughput tools are now routinely used to generate...