A database server for predicting protein-protein interactions

Kyungsook Han, Byungkyu Park

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

1 Scopus citations

Abstract

Large-scale protein interactions are known for several species due to the recent improvements in experimental methods for detecting protein interactions. However, direct determination of all the interactions between the human proteins is difficult even with current high-throughput methods. This paper describes a database server called HPID (http//www.hpid.org) that (1) provides structural interactions between human proteins precomputed from existing structural and experimental data and (2) predicts structural interactions between proteins submitted by users. The structural interactions were obtained by finding known structural interactions of PDB in SCOP domains and then by finding homologs of the domains in target proteins. Based on the structural interactions, we constructed two protein interaction maps, one for human and another for yeast. We believe this is the first attempt to map a whole human interactome at the superfamily level and to compare a human protein interaction map with other species' interaction map.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsMarian Bubak, Geert Dick van Albada, Peter M.A. Sloot, Jack J. Dongarra
PublisherSpringer Verlag
Pages271-278
Number of pages8
ISBN (Print)9783540221142
DOIs
StatePublished - 2004

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3036
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

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