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SVM Analysis of Haemophilia A by Using Protein Structure

  • Kenji Aoki
  • Kunihito Yamamori
  • Makoto Sakamoto
  • Hiroshi Furutani
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8227)

Abstract

Haemophilia A is a genetic disease resulting from deficiency of factor VIII. The database of mutations causing haemophilia A has been developed by the world wide collaboration. In this study, we examined the relation between activity of factor VIII and the missense mutation by using Support Vector Machine (SVM). As parameters, we used four physical-chemical parameters of amino acids and a structural feature. As a result, we predicted the severity of haemophilia A by using SVM in A domains of factor VIII. The structural parameters influence the prediction in A domains.

Keywords

Haemophilia A Factor VIII Amino Acid Support Vector Machine 

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References

  1. 1.
    Bolton-Maggs, P.H.B., Pasi, K.J.: Haemophilias A and B. The Lancet 361, 1801–1809 (2003)CrossRefGoogle Scholar
  2. 2.
    Furie, B., Furie, B.C.: The Molecular Basis of Blood Coagulation. Cell 53, 505–518 (1988)CrossRefGoogle Scholar
  3. 3.
    Utsunomiya, M., Sakamoto, M., Furutani, H.: Regression Analysis of Amino Acid Substitutions and Factor IX Activity in Hemophilia B. Artificial Life and Robotics 13, 531–534 (2008)CrossRefGoogle Scholar
  4. 4.
    Aoki, K., Yamamori, K., Sakamoto, M., Furutani, H.: Analysis of Genetic Disease Hemophilia B by Using Support Vector Machine. In: Huang, T., Zeng, Z., Li, C., Leung, C.S. (eds.) ICONIP 2012, Part IV. LNCS, vol. 7666, pp. 476–483. Springer, Heidelberg (2012)CrossRefGoogle Scholar
  5. 5.
    Gitschier, J., Wood, W.I., Goralka, T.M., et al.: Characterization of the Human Factor VIII Gene. Nature 312, 326–330 (1984)CrossRefGoogle Scholar
  6. 6.
    Kemball-Cook, G.: The Haemophilia A Mutation, Structure, Test and Resource Site (HAMSTeRS), http://hadb.org.uk/ (February 11, 2013) (updated)
  7. 7.
    Jachims, T.: SVMlight Version 6.02 (2008), http://svmlight.joachims.org/
  8. 8.
    Schölkopf, B., Burges, C.J.C., Smola, A.J.: Advances in Kernel Methods. The MIT Press, London (1999)Google Scholar
  9. 9.
    Schölkopf, B., Tsuda, K., Vert, J.P.: Kernel Methods in Computational Biology. A Bradford Book. The MIT Press, London (2004)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Kenji Aoki
    • 1
  • Kunihito Yamamori
    • 2
  • Makoto Sakamoto
    • 2
  • Hiroshi Furutani
    • 2
  1. 1.Information Technology CenterUniversity of MiyazakiMiyazaki CityJapan
  2. 2.Faculty of EngineeringUniversity of MiyazakiMiyazaki CityJapan

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