The multiple sequence alignment problem in biology
SIAM Journal on Applied Mathematics
Establishing a statistic model for recognition of steroid hormone response elements
Computational Biology and Chemistry
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ACM Transactions on Management Information Systems (TMIS)
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Multiple sequence alignment (MSA) is one of the fundamental research topics in computational biology. The alignments help us to find functional assignment, evolutionary history and conserved region. Previous methods use a substitution matrix and do not incorporate knowledge of the sequences being aligned. Therefore, they do not assure the alignment of similar structures and common patterns in the sequences. We have been investigating into the solution to the problem in multiple and making use of knowledge of the sequences being aligned, including patterns in the Prosite databank, Blocks+, eBlocks databases, as well as motif and structural information. A pattern-constrained algorithm has been developed. Experiments with protein sequences have shown more accurate alignments with incorporation of the domain knowledge available in the sequences.