Name
Abstract | ||
|---|---|---|
In this paper, we study the problem of computing the similarity of two protein structures by measuring their contact-map overlap. Contact-map overlap abstracts the problem of computing the similarity of two polygonal chains as a graph-theoretic problem. In R-3, we present the first polynomial time algorithm with any guarantee on the approximation ratio for the 3-dimensional problem. More precisely, we give an algorithm for the contact-map overlap problem with an approximation ratio of sigma where sigma = min{sigma( P-1), sigma( P-2)} <= O( n(1/2)) is a decomposition parameter depending on the input polygonal chains P-1 and P-2. In R-2, we improve the running time of the previous best known approximation algorithm from O(n(6)) to O(n(3) log n) at the cost of decreasing the approximation ratio by half. We also give hardness results for the problem in three dimensions, suggesting that approximating it better than O(n(epsilon)), for some epsilon > 0, is hard. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1089/cmb.2007.0004 | JOURNAL OF COMPUTATIONAL BIOLOGY |
Keywords | DocType | Volume |
shape matching,molecular structures,contact maps,graph theory | Journal | 14.0 |
Issue | ISSN | Citations |
2 | 1066-5277 | 8 |
PageRank | References | Authors |
0.54 | 7 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pankaj K. Agarwal | 1 | 5257 | 593.81 |
| Nabil H. Mustafa | 2 | 390 | 41.24 |
| Yusu Wang | 3 | 860 | 57.40 |