Algorithmic Aspects of Protein Structure Similarity
FOCS '99 Proceedings of the 40th Annual Symposium on Foundations of Computer Science
Bimal: bipartite matching alignment for the contact map overlap problem
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
The Journal of Machine Learning Research
Large sample statistics in the domain of graphs
SSPR&SPR'10 Proceedings of the 2010 joint IAPR international conference on Structural, syntactic, and statistical pattern recognition
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We show that multiple structure alignment (MStA) using contact maps is equivalent to the problem of fnding a sample mean of contact maps. From this result, we derive a subgradient method for solving the MStA method. Experiments show that the proposed algorithm is a f exible alignment method that provides an excellent tradeoff between accuracy and speed.