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The Effects of Topology of Evolutionary Tree on Predicting Protein Interaction Specificity
by
Raja Jothi
National Center for Biotechnology Information (NCBI/NLM/NIH)
Coauthors: Teresa Przytycka (NIH/NLM/NCBI)
To perform their function in the cell, proteins need to interact with each other. Predicting protein-protein interactions plays an important role in understanding protein functionalities within the cell. Proteins, in general, can be divided into groups of evolutionarily related proteins called families. It has been observed, that if members of one protein family interact with members of another protein family then the evolution of the two families is correlated. It is also believed that if two families of proteins co-evolved, it is highly likely that those two families interact. Several computational approaches that compare the evolutionary trees of proteins in order to predict potential interactions have been proposed in recent years. A much harder problem is to predict interaction specificity (matching members of one family to specific members of the other family), a largely unsolved problem. In this paper, we study on the effectiveness of topology of evolutionary tree (number of automorphisms in particular) on predicting protein interaction specificities.
Date received: October 12, 2004
Copyright © 2004 by the author(s). The author(s) of this work and the organizers of the conference have granted their consent to include this abstract in Topology Atlas. Document # capf-06.