Please use this identifier to cite or link to this item:
https://scholarbank.nus.edu.sg/handle/10635/16611
DC Field | Value | |
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dc.title | Developing peptide-based approaches for systematic enzyme profiling | |
dc.contributor.author | SUN HONGYAN | |
dc.date.accessioned | 2010-04-08T11:07:02Z | |
dc.date.available | 2010-04-08T11:07:02Z | |
dc.date.issued | 2009-03-23 | |
dc.identifier.citation | SUN HONGYAN (2009-03-23). Developing peptide-based approaches for systematic enzyme profiling. ScholarBank@NUS Repository. | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/16611 | |
dc.description.abstract | Enzymes are critical to the vital functioning of any living system and play an important role in regulation of cellular processes. There are around 18-29% of eukaryotic genomes which encode enzymes. However, little is still understood about the physiological role, substrate specificity and downstream targets of enzymes. There is a pressing need to develop platforms for high-throughput identification and characterization of enzyme activities. This research is now referred to as Catalomics. One key challenge in Catalomics is to develop robust tools for substrate fingerprinting of enzymes in high-throughput. This thesis examines and addresses these challenges by integration of various emerging interdisciplinary and enabling platforms. The approaches developed would provide comprehensive insights into the catalytic mechanism of different clusters of enzymes. The substrate fingerprints obtained from this study would not only provide the invaluable information for identification of physiological substrates but also aid in the design of selective and potent inhibitors. | |
dc.language.iso | en | |
dc.subject | Peptide, Enzyme, Substrate fingerprinting, Microarray, Bioimaging, Catalomics | |
dc.type | Thesis | |
dc.contributor.department | CHEMISTRY | |
dc.contributor.supervisor | YAO SHAO QIN | |
dc.description.degree | Ph.D | |
dc.description.degreeconferred | DOCTOR OF PHILOSOPHY | |
dc.identifier.isiut | NOT_IN_WOS | |
Appears in Collections: | Ph.D Theses (Open) |
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File | Description | Size | Format | Access Settings | Version | |
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Sun HY.pdf | 5.93 MB | Adobe PDF | OPEN | None | View/Download |
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