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 language||American English|
|Title of host publication||Algorithms in Bioinformatics - 2nd International Workshop,WABI 2002, Proceedings|
|Editors||Roderic Guigo, Dan Gusfield|
|Number of pages||254|
|ISBN (Print)||3540442111, 9783540442110|
|State||Published - 2002|
|Event||2nd International Workshop on Algorithms in Bioinformatics, WABI 2002 - Rome, Italy|
Duration: 17 Sep 2002 → 21 Sep 2002
|Name||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Conference||2nd International Workshop on Algorithms in Bioinformatics, WABI 2002|
|Period||17/09/02 → 21/09/02|
Bibliographical notePublisher Copyright:
© Springer-Verlag Berlin Heidelberg 2002.