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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lavor, C. Mucherino, A. Liberti, L. Maculan, N. |
| Copyright Year | 2009 |
| Description | Author affiliation: Dept. of Applied Mathematics (IMECC-UNICAMP), State University of Campinas, Campinas-SP, Brazil (Lavor, C.; Mucherino, A.; Liberti, L.; Maculan, N.) |
| Abstract | NMR experiments can provide distances between pairs of hydrogens of a protein molecule. The problem of identifying the coordinates of such hydrogens by exploiting the information on the distances is a Molecular Distance Geometry Problem (MDGP). In a previous work, we defined an artificial backbone of hydrogens related to the protein backbones, where a particular ordering was given to the hydrogens. This ordering allows to formulate the MDGP as a combinatorial optimization problem, to which we refer as the Discretizable MDGP (DMDGP) and that we efficiently solve by an exact algorithm, the Branch and Prune (BP) algorithm. Once the coordinates of the hydrogens have been found, the problem of finding the remaining backbone atoms (N, C and C) is another MDGP. In this short paper, we propose a simple method for solving the MDGP related to the backbone atoms N, C and C of a protein, where the coordinates of the hydrogens previously found by the BP algorithm are exploited. |
| Starting Page | 152 |
| Ending Page | 155 |
| File Size | 266693 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424451210 |
| DOI | 10.1109/BIBMW.2009.5332119 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-11-01 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Protein engineering Information geometry NP-hard problem Spine Hydrogen Optimization methods Systems engineering and theory Digital arithmetic Mathematics Nuclear magnetic resonance |
| Content Type | Text |
| Resource Type | Article |
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