Name
Title | ||
|---|---|---|
Waveform processing for protein multi-alignment by mapping location, structure and property function attributes |
Abstract | ||
|---|---|---|
We propose a pairwise protein structure alignment approach based on a joint similarity measure of multiple protein attributes. We map information on a protein's sequence location, structure and characteristic properties onto a highly-localized three-dimensional Gaussian waveform. By allowing the waveform to undergo unique transformations in the time-frequency plane, we allocate distinct parameters to represent the different attributes. Protein matching by expanding the mapped waveforms using appropriately designed basis waveform functions provides a similarity measure to encompass the multiple attributes. Simulations using data from a database demonstrate the performance of the joint alignment approach to infer relationships between proteins. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ACSSC.2013.6810270 | Pacific Grove, CA |
Keywords | Field | DocType |
bioinformatics,pattern matching,proteins,time-frequency analysis,basis waveform functions,highly-localized three-dimensional Gaussian waveform,joint alignment approach,joint similarity measure,multiple protein attributes,pairwise protein structure alignment approach,property function attributes,protein matching,protein multialignment,protein sequence location mapping,time-frequency plane,waveform processing | Data mining,Similarity measure,Computer science,Matrix (mathematics),Artificial intelligence,Protein structure,Pairwise comparison,Mathematical optimization,Pattern recognition,Protein engineering,Waveform,Gaussian,Time–frequency analysis | Conference |
ISSN | ISBN | Citations |
1058-6393 | 978-1-4799-2388-5 | 0 |
PageRank | References | Authors |
0.34 | 5 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Brian O'Donnell | 1 | 0 | 1.01 |
| Alexander Maurer | 2 | 0 | 0.34 |
| Antonia Papandreou-Suppappola | 3 | 234 | 29.88 |