TY - JOUR T1 - Structure of Protein Interaction Networks and Their Implications on Drug Design A1 - Hase, Takeshi A1 - Tanaka, Hiroshi A1 - Suzuki, Yasuhiro A1 - Nakagawa, So A1 - Kitano, Hiroaki Y1 - 2009/10/30 N2 - Author Summary Genome-wide data on interactions between proteins are now available, and networks of protein interactions are the keys to understanding diseases and finding accurate drug targets. This study revealed that the architectural properties of the backbones of protein interaction networks (PINs) were similar to those of the Internet router-level topology by using statistical analyses of genome-wide budding yeast and human PINs. This type of network is known as a highly optimized tolerance (HOT) network that is robust against failures in its components and that ensures high levels of communication. Moreover, we also found that a large number of the most successful drug-target proteins are on the backbone of the human PIN. We made a list of proteins on the backbone of the human PIN, which may help drug companies to search more efficiently for new drug targets. JF - PLOS Computational Biology JA - PLOS Computational Biology VL - 5 IS - 10 UR - https://doi.org/10.1371/journal.pcbi.1000550 SP - e1000550 EP - PB - Public Library of Science M3 - doi:10.1371/journal.pcbi.1000550 ER -