Functional consequences in metabolic pathways from phylogenetic profiles

Yonatan Bilu, Michal Linial

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Phylogenetic profiling is an ingenious computational method for identifying functional linkage between proteins. It is based on the assumption that a set of proteins involved in a common pathway or composing a structural complex tends to evolve in a correlated fashion. We present a rigorous statistical analysis of the success of this method in identifying proteins involved in the same metabolic pathway. We suggest several modifications for the use of phylogenetic profiles that improve the success measure significantly. The potential and the limitations of this method for protein functional predictions are discussed.

Original languageAmerican English
Title of host publicationAlgorithms in Bioinformatics - 2nd International Workshop,WABI 2002, Proceedings
EditorsRoderic Guigo, Dan Gusfield
PublisherSpringer Verlag
Pages23-276
Number of pages254
ISBN (Print)3540442111, 9783540442110
DOIs
StatePublished - 2002
Event2nd International Workshop on Algorithms in Bioinformatics, WABI 2002 - Rome, Italy
Duration: 17 Sep 200221 Sep 2002

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2452
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2nd International Workshop on Algorithms in Bioinformatics, WABI 2002
Country/TerritoryItaly
CityRome
Period17/09/0221/09/02

Bibliographical note

Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2002.

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