Protein Structure Prediction Based on Secondary Structure Alignment
نویسندگان
چکیده
In molecular biology, sequence alignment is a fundamental but powerful technique. Biologists find the similarity, the difference and even the function of the input sequences (DNA, RNA and protein sequences) by it. With various purposes, there are many algorithms to align two sequences based on different criteria. Though there are various ways to align macromolecular sequences, a sequence alignment algorithm traditionally considers only the primary structure, which is the amino acid chain. In this paper, we present a new algorithm which aligns sequences with consideration of their secondary structures. When we make use of the information of protein secondary structure such as α helix, β sheet etc., the sensitivity of pairwise alignment can be improved.
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