TY - GEN
T1 - A topology-sharing based method for protein function prediction via analysis of protein functional association networks
AU - Hu, Pingzhao
AU - Jiang, Hui
AU - Emili, Andrew
PY - 2009
Y1 - 2009
N2 - The sequencing of many genomes has brought to light the discovery of thousands of possible open reading frames which are potentially transcribed and translated into gene products, but a great majority of these have yet to be characterized. Since proteins seldom act alone; rather, they must interact with other biomolecular units to execute their functions. Thus, the function of unknown proteins may be discovered through studying their interaction with known proteins having known functions. Here, we developed a new network topology-based method in which the functions of the uncharacterized proteins can be predicted based on the functions of the proteins sharing similar topology structure. We explored to incorporate the inter-relationship among functional labels into the function prediction framework. We evaluated the performance of the new method with other representative network-based function prediction method using E. coli protein networks. Our results showed that the method has better prediction performance in E. coli protein function prediction.
AB - The sequencing of many genomes has brought to light the discovery of thousands of possible open reading frames which are potentially transcribed and translated into gene products, but a great majority of these have yet to be characterized. Since proteins seldom act alone; rather, they must interact with other biomolecular units to execute their functions. Thus, the function of unknown proteins may be discovered through studying their interaction with known proteins having known functions. Here, we developed a new network topology-based method in which the functions of the uncharacterized proteins can be predicted based on the functions of the proteins sharing similar topology structure. We explored to incorporate the inter-relationship among functional labels into the function prediction framework. We evaluated the performance of the new method with other representative network-based function prediction method using E. coli protein networks. Our results showed that the method has better prediction performance in E. coli protein function prediction.
UR - http://www.scopus.com/inward/record.url?scp=72849144724&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=72849144724&partnerID=8YFLogxK
U2 - 10.1109/BIBMW.2009.5332102
DO - 10.1109/BIBMW.2009.5332102
M3 - Conference contribution
AN - SCOPUS:72849144724
SN - 9781424451210
T3 - Proceedings - 2009 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2009
SP - 243
EP - 248
BT - Proceedings - 2009 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2009
T2 - 2009 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2009
Y2 - 1 November 2009 through 4 November 2009
ER -