Predicting protein interactions in human by homologous interactions in yeast

Hyongguen Kim; Jong Park; Kyungsook Han

doi:10.1007/3-540-36175-8_16

Predicting protein interactions in human by homologous interactions in yeast

Hyongguen Kim, Jong Park, Kyungsook Han

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

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.

Original language	English
Title of host publication	Advances in Knowledge Discovery and Data Mining
Editors	Kyu-Young Wang, Jongwoo Jeon, Kyuseok Shim, Jaideep Srivastava
Publisher	Springer Verlag
Pages	159-165
Number of pages	7
ISBN (Electronic)	3540047603, 9783540047605
DOIs	https://doi.org/10.1007/3-540-36175-8_16
State	Published - 2003
Event	7th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2003 - Seoul, Korea, Republic of Duration: 30 Apr 2003 → 2 May 2003

Publication series

Name	Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
Volume	2637
ISSN (Print)	0302-9743

Conference

Conference	7th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2003
Country/Territory	Korea, Republic of
City	Seoul
Period	30/04/03 → 2/05/03

Bibliographical note

Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2003.

Access to Document

10.1007/3-540-36175-8_16

Cite this

Kim, H., Park, J., & Han, K. (2003). Predicting protein interactions in human by homologous interactions in yeast. In K.-Y. Wang, J. Jeon, K. Shim, & J. Srivastava (Eds.), Advances in Knowledge Discovery and Data Mining (pp. 159-165). (Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science); Vol. 2637). Springer Verlag. https://doi.org/10.1007/3-540-36175-8_16

Kim, Hyongguen ; Park, Jong ; Han, Kyungsook. / Predicting protein interactions in human by homologous interactions in yeast. Advances in Knowledge Discovery and Data Mining. editor / Kyu-Young Wang ; Jongwoo Jeon ; Kyuseok Shim ; Jaideep Srivastava. Springer Verlag, 2003. pp. 159-165 (Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)).

@inproceedings{f90e216f3f2b4a29947f5d5a1d741e0a,

title = "Predicting protein interactions in human by homologous interactions in yeast",

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.",

author = "Hyongguen Kim and Jong Park and Kyungsook Han",

note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2003.; 7th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2003 ; Conference date: 30-04-2003 Through 02-05-2003",

year = "2003",

doi = "10.1007/3-540-36175-8_16",

language = "English",

series = "Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)",

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booktitle = "Advances in Knowledge Discovery and Data Mining",

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Kim, H, Park, J & Han, K 2003, Predicting protein interactions in human by homologous interactions in yeast. in K-Y Wang, J Jeon, K Shim & J Srivastava (eds), Advances in Knowledge Discovery and Data Mining. Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), vol. 2637, Springer Verlag, pp. 159-165, 7th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2003, Seoul, Korea, Republic of, 30/04/03. https://doi.org/10.1007/3-540-36175-8_16

Predicting protein interactions in human by homologous interactions in yeast. / Kim, Hyongguen; Park, Jong; Han, Kyungsook.
Advances in Knowledge Discovery and Data Mining. ed. / Kyu-Young Wang; Jongwoo Jeon; Kyuseok Shim; Jaideep Srivastava. Springer Verlag, 2003. p. 159-165 (Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science); Vol. 2637).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - 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.

AB - 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.

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T3 - Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

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Predicting protein interactions in human by homologous interactions in yeast

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