Date Awarded
2021
Document Type
Thesis
Degree Name
Master of Science (M.Sc.)
Department
Chemistry
Advisor
John Poutsma
Committee Member
Kurt Williamson
Committee Member
Tyler K. Meldrum
Abstract
After decades with the development of genetics study, the next step of molecular biology had already been moved onto proteomics. The proteomics study provides an innovative aspect to deduct the relationship between genes and proteins. Meanwhile, research that focuses on the mechanism of protein interactions and intrinsic properties of proteins never cease. The mass spectrometry-based proteomics approaches have already shown their versatile and superior in studying the whole proteome of complicated organisms. This study focuses on practicing bottom-up method in determining and characterizing the expressed proteome of two mycobacteriophages, CrimD and Larva. The expressed proteins of CrimD and Larva in their host, Mycobacterium smegmatis, were determined and analyzed by The Proteome Discoverer. The data was further discussed to deduct the function of unknown genes that expressed the proteins. On the other hand, a set of proline-containing dipeptide was modeled and simulated via PCmodel 9 and Gaussian to predict their proton affinity. A series of computational chemistry models were used at different calculation level to find the most possible structure and energy for these dipeptides. This project is a huge computation-intense calculation project and unfinished. A summary about the current achievement is reported in this thesis.
DOI
https://dx.doi.org/10.21220/s2-b4c0-1h11
Rights
© The Author
Recommended Citation
QIAN, HAO, "Mass Spectrometry-Based Proteomics: An Experimental Study Of Differential Bacteriophage Protein Expression And A Computational Investigation Of The Effects Of Proton Affinity On The Fragmentation Of Proline-Containing Dipeptides" (2021). Dissertations, Theses, and Masters Projects. William & Mary. Paper 1673273053.
https://dx.doi.org/10.21220/s2-b4c0-1h11
