Abstract
High sequence similarity of two proteins does not imply the relation in their structural similarity. In this paper, we propose a protein secondary structure prediction method based on Ramachandran maps. According to the distribution of Ramachandran plot on φ and ψ backbone conformational angles, the series of backbone dihedral angles are regarded as a sequence of input states. Individual residues are classified into different secondary structures. In one of our results, protein hemoglobin 1A6M aligns 2FAM sequence sharing 11.74% similarity. However, 1A6M shares 81.82% of the common structure with 2FAM. Results display that our proposed method provides a promotive advantage on protein secondary structure prediction, without depending on sequence similarity.
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© 2008 Springer-Verlag Berlin Heidelberg
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Chen, YR., Peng, SL., Tsay, YW. (2008). Protein Secondary Structure Prediction Based on Ramachandran Maps. In: Huang, DS., Wunsch, D.C., Levine, D.S., Jo, KH. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues. ICIC 2008. Lecture Notes in Computer Science, vol 5226. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87442-3_26
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DOI: https://doi.org/10.1007/978-3-540-87442-3_26
Publisher Name: Springer, Berlin, Heidelberg
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