DocumentCode
3450660
Title
Algorithmic aspects of protein structure similarity
Author
Goldman, Deborah ; Istrail, S. ; Papadimitriou, Christos H.
Author_Institution
Dept. of Math., California Univ., Berkeley, CA, USA
fYear
1999
fDate
1999
Firstpage
512
Lastpage
521
Abstract
We show that calculating contact map overlap (a measure of similarity of protein structures) is NP-hard, but can be solved in polynomial time for several interesting and relevant special cases. We identify an important special case of this problem corresponding to self-avoiding walks, and prove a decomposition theorem and a corollary approximation result for this special case. These are the first approximation algorithms with guaranteed error bounds, and NP-completeness results in the literature in the area of protein structure alignment/fold recognition for measures of structure similarity of practical interest
Keywords
biology computing; computational complexity; graph theory; molecular configurations; optimisation; proteins; scientific information systems; theorem proving; NP-completeness results; NP-hard; algorithmic aspects; approximation algorithms; contact map overlap; corollary approximation result; decomposition theorem; guaranteed error bounds; polynomial time; protein structure alignment; protein structure similarity; self-avoiding walks; Area measurement; Databases; Laboratories; Mathematics; Microwave integrated circuits; Polynomials; Prediction methods; Proteins; Time measurement; US Department of Energy;
fLanguage
English
Publisher
ieee
Conference_Titel
Foundations of Computer Science, 1999. 40th Annual Symposium on
Conference_Location
New York City, NY
ISSN
0272-5428
Print_ISBN
0-7695-0409-4
Type
conf
DOI
10.1109/SFFCS.1999.814624
Filename
814624
Link To Document