Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/13659
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dc.titleDevelopment of computational methods for the rapid determination of NMR resonance assignment of large proteins
dc.contributor.authorLI KAI
dc.date.accessioned2010-04-08T10:35:14Z
dc.date.available2010-04-08T10:35:14Z
dc.date.issued2004-01-09
dc.identifier.citationLI KAI (2004-01-09). Development of computational methods for the rapid determination of NMR resonance assignment of large proteins. ScholarBank@NUS Repository.
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/13659
dc.description.abstractIn 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.isoen
dc.subjectprotein NMR, automated resonance assignment, TROSY, secondary structure, best-first deterministic algorithm, exhaustive search algorithm
dc.typeThesis
dc.contributor.departmentBIOCHEMISTRY
dc.contributor.supervisorTAN TIN WEE
dc.contributor.supervisorYANG DAIWEN
dc.description.degreeMaster's
dc.description.degreeconferredMASTER OF SCIENCE
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Master's Theses (Open)

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