关注蛋白质的多结合位点，而不是蛋白质看成单一的实体，increase the resolution of protein–protein, genetic and drug–gene interaction studies to the domain and residue levels

http://www.nature.com/nrg/journal/v14/n12/full/nrg3574.html#author-information

2、根据基因表达数据建立基因调控网络的综述

2.1 Karlebach, G. & Shamir, R. Modelling and analysis of gene regulatory networks. Nature Rev. Mol. Cell Biol. 9, 770–780 (2008).

http://www.nature.com/nrm/journal/v9/n10/full/nrm2503.html

2.2 Furey, T. S. ChIP–seq and beyond: new and improved methodologies to detect and characterize protein–DNA interactions. Nature Rev. Genet. 13, 840–852 (2012).

3、动态信号网络构建综述：

1. Kholodenko, B. N., Hancock, J. F. & Kolch, W. Signalling ballet in space and time. Nature Rev. Mol. Cell Biol. 11, 414–426 (2010).

2. Choudhary, C. & Mann, M. Decoding signalling networks by mass spectrometry-based proteomics. Nature Rev. Mol. Cell Biol. 11, 427–439 (2010).

3. Ideker, T. & Krogan, N. J. Differential network biology. Mol. Syst. Biol. 8, 565 (2012).

   
   

4、蛋白质基因集成网络

Beyer, A., Bandyopadhyay, S. & Ideker, T. Integrating physical and genetic maps: from genomes to interaction networks. Nature Rev. Genet. 8, 699–710 (2007).

Bandyopadhyay, S., Kelley, R., Krogan, N. J. & Ideker, T. Functional maps of protein complexes from quantitative genetic interaction data. PLoS Comput. Biol. 4, e1000065(2008).