Computational systems biology is an emerging field that investigates the functions of molecules from a systematic perspective and focuses more on complex interactions among molecules with the power of new computational approaches. In particular, with the emergence of the network theory, computational systems biology is able to characterize the behavior of biological systems and explain phenotypes from the perspective of molecules. This special issue aims to provide the community of computational biology with data-driven theoretical and computational methodologies on inference and analysis of biological networks. Potential topics include, but are not limited to:

• Prediction of protein-protein interactions
• Inference of gene regulations
• Construction and analysis of metabolic networks
• Inference of signaling pathways
• Network motif and community detection
• Prediction of drug-protein interactions
• Inference of phenome-genome associations in human diseases

Before submission authors should carefully read over the journal's Author Guidelines, which are located at http://www.hindawi.com/journals/tswj/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/submit/journals/tswj/computational.biology/comput/ according to the following timetable: