Please use this identifier to cite or link to this item:
https://scholarbank.nus.edu.sg/handle/10635/13659
Title: | Development of computational methods for the rapid determination of NMR resonance assignment of large proteins | Authors: | LI KAI | Keywords: | protein NMR, automated resonance assignment, TROSY, secondary structure, best-first deterministic algorithm, exhaustive search algorithm | Issue Date: | 9-Jan-2004 | Citation: | LI KAI (2004-01-09). Development of computational methods for the rapid determination of NMR resonance assignment of large proteins. ScholarBank@NUS Repository. | 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). | URI: | http://scholarbank.nus.edu.sg/handle/10635/13659 |
Appears in Collections: | Master's Theses (Open) |
Show full item record
Files in This Item:
File | Description | Size | Format | Access Settings | Version | |
---|---|---|---|---|---|---|
LiK.pdf | 733.31 kB | Adobe PDF | OPEN | None | View/Download |
Page view(s)
289
checked on Dec 3, 2019
Download(s)
162
checked on Dec 3, 2019
Google ScholarTM
Check
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.