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https://scholarbank.nus.edu.sg/handle/10635/13659
DC Field | Value | |
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dc.title | Development of computational methods for the rapid determination of NMR resonance assignment of large proteins | |
dc.contributor.author | LI KAI | |
dc.date.accessioned | 2010-04-08T10:35:14Z | |
dc.date.available | 2010-04-08T10:35:14Z | |
dc.date.issued | 2004-01-09 | |
dc.identifier.citation | LI KAI (2004-01-09). Development of computational methods for the rapid determination of NMR resonance assignment of large proteins. ScholarBank@NUS Repository. | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/13659 | |
dc.description.abstract | In order to make the analysis process faster for large protein, we have developed a program for the automated assignment of backbone and 13CI? resonance of proteins with known primary sequence. Input to the program consists of cross-peak lists from triple TROSY NMR experiments, protein sequence and protein secondary structure information. A few algorithms are proposed to utilize a minimal number of 4D experiments, which well resolve the ambiguity of experiment data caused by heavy chemical shift degeneracy in large proteins. The combination method of both best-first deterministic algorithm and exhaustive search algorithm accomplishes nearly complete assignments in a short time, which agree with data of two previously studied proteins, a 67-kDa dimeric construct of p53 (279 residues) and Malate Synthase G (723 residues). | |
dc.language.iso | en | |
dc.subject | protein NMR, automated resonance assignment, TROSY, secondary structure, best-first deterministic algorithm, exhaustive search algorithm | |
dc.type | Thesis | |
dc.contributor.department | BIOCHEMISTRY | |
dc.contributor.supervisor | TAN TIN WEE | |
dc.contributor.supervisor | YANG DAIWEN | |
dc.description.degree | Master's | |
dc.description.degreeconferred | MASTER OF SCIENCE | |
dc.identifier.isiut | NOT_IN_WOS | |
Appears in Collections: | Master's Theses (Open) |
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