Abstract
In this paper, we develop a novel graph theoretic approach for protein threading. In order to perform the protein sequence-structure alignment in threading both efficiently and accurately, we develop a graph model to describe the tertiary structure of a protein family and the alignment between a sequence and a family can be computed with a dynamic programming algorithm in linear time. Our experiments show that this new approach is significantly faster than existing tools for threading and can achieve comparable prediction accuracy.
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Song, Y., Qu, J. (2014). A New Graph Theoretic Approach for Protein Threading. In: Huang, DS., Han, K., Gromiha, M. (eds) Intelligent Computing in Bioinformatics. ICIC 2014. Lecture Notes in Computer Science(), vol 8590. Springer, Cham. https://doi.org/10.1007/978-3-319-09330-7_58
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DOI: https://doi.org/10.1007/978-3-319-09330-7_58
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-09329-1
Online ISBN: 978-3-319-09330-7
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