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Predicting Protein Interactions in Human by Homologous Interactions in Yeast

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Advances in Knowledge Discovery and Data Mining (PAKDD 2003)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2637))

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Abstract

As the genes of the human genome become known, one of the challenges is to identify all their interactions. Protein interactions are known for several organisms due to recent improvements in the detection methods for protein interaction, but they are limited to low-order species only. Direct determination of all the interactions occurring between the complete set of human genes remains difficult, even with current large-scale detection methods for protein interaction. This paper presents protein interactions between all human genes using the concept of homologous interaction. We believe this is the first attempt to map a whole human interactome.

This work was supported by the Ministry of Information and Communication of Korea under grant IMT2000-C3-4.

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Author information

Authors and Affiliations

  1. School of Computer Science and Engineering, Inha University, Inchon, 402-751, Korea

    Hyongguen Kim & Kyungsook Han

  2. Human Nutrition Unit, MRC-DUNN, Hills Road, Cambridge, CB2 2XY, UK

    Jong Park

Authors
  1. Hyongguen Kim
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  2. Jong Park
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  3. Kyungsook Han
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Editor information

Editors and Affiliations

  1. Computer Science Department, Korea Advanced Institute of Science and Technology, 373-1 Koo-Sung Dong, Yoo-Sung Ku, Daejeon, 305-701, Korea

    Kyu-Young Whang

  2. Department of Statistics, Seoul National University, Sillimdong Kwanakgu, Seoul, 151-742, Korea

    Jongwoo Jeon

  3. School of Electrical Engineering and Computer Science, Seoul National University, Kwanak P.O. Box 34, Seoul, 151-742, Korea

    Kyuseok Shim

  4. Department of Computer Science and Engineering, University of Minnesota, 200 Union St SE, Minneapolis, MN, 55455, USA

    Jaideep Srivastava

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© 2003 Springer-Verlag Berlin Heidelberg

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Kim, H., Park, J., Han, K. (2003). Predicting Protein Interactions in Human by Homologous Interactions in Yeast. In: Whang, KY., Jeon, J., Shim, K., Srivastava, J. (eds) Advances in Knowledge Discovery and Data Mining. PAKDD 2003. Lecture Notes in Computer Science(), vol 2637. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36175-8_16

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  • DOI: https://doi.org/10.1007/3-540-36175-8_16

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-04760-5

  • Online ISBN: 978-3-540-36175-6

  • eBook Packages: Springer Book Archive

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