Fast molecular shape matching using contact maps.
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 R3, 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(P1), sigma(P2)} <or= O(n(1/2)) is a decomposition parameter depending on the input polygonal chains P1 and P2. In R2, 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.
Agarwal
Pankaj K
PK
Dept. of Computer Science, Duke University, Durham, North Carolina, USA. pankaj@cs.duke.edu
Mustafa
Nabil H
NH
Wang
Yusu
Y
D000465:Algorithms; D019295:Computational Biology / Q000379:methods*; D008956:Models, Chemical; D011506:Proteins / Q000737:chemistry* / Q000378:metabolism
D011506:Proteins