@article{02f30f15aa27494f946c1ccfd83af15b,
title = "High-resolution network biology: Connecting sequence with function",
abstract = "Proteins are not monolithic entities; rather, they can contain multiple domains that mediate distinct interactions, and their functionality can be regulated through post-translational modifications at multiple distinct sites. Traditionally, network biology has ignored such properties of proteins and has instead examined either the physical interactions of whole proteins or the consequences of removing entire genes. In this Review, we discuss experimental and computational methods to increase the resolution of protein-protein, genetic and drug-gene interaction studies to the domain and residue levels. Such work will be crucial for using interaction networks to connect sequence and structural information, and to understand the biological consequences of disease-associated mutations, which will hopefully lead to more effective therapeutic strategies.",
author = "Ryan, {Colm J.} and Peter Cimerman{\v c}i{\v c} and Szpiech, {Zachary A.} and Andrej Sali and Hernandez, {Ryan D.} and Krogan, {Nevan J.}",
note = "Funding Information: The authors thank G. Cagney, D. Fitzpatrick and C. Maher for their comments and feedback. They also thank M. Shales and H. Braberg for suggestions and assistance with figures and K. Lasker for assistance with Box 3. C.J.R. is supported by ICON Plc and the University College Dublin Newman Fellowship Programme; P.C. is supported by a Howard Hughes Predoctoral Fellowship; A.S. is supported by the National Institutes of Health (R01 GM083960, U54 RR022220, U54 GM094662, P01 AI091575, and U01 GM098256); N.J.K. is supported by the US National Institutes of Health (P50 GM082250, R01 GM084448, P01 AI090935, P50G M081879, R01 GM098101, R01 GM084279 and P01 AI091575) and the Defense Advanced Research Projects Agency (DARPA-10-93-Prophecy-PA-008).",
year = "2013",
month = dec,
doi = "10.1038/nrg3574",
language = "English",
volume = "14",
pages = "865--879",
journal = "Nature Reviews Genetics",
issn = "1471-0056",
publisher = "Nature Publishing Group",
number = "12",
}