The second part of the book will cover interaction networks of biomolecules. This will include stochastic models for networks with small copy numbers of molecular species, as those arising in genetic circuits, protein synthesis, and transcription binding, and algorithms of computing the properties of stochastic molecular networks. There will be a section on signal transduction networks that arise, for example, complex interactions between the numerous constituents such as DNA, RNA, proteins and small molecules in a complex biochemical system such as a cell. Experimental protocols and algorithmic methodologies necessary to synthesize these networks will also be included. Of special interest will be the problem of synthesizing these networks from double-causal experimental evidences and methods for reverse engineering such networks based on experimental protocols.
Bhaskar DasGupta is an associate professor within the Department of Computer Science at the University of Illinois at Chicago. He is a senior member of IEEE. He has written numerous journal papers.
Jie Liang is a professor within the Department of Bioengineering and Computer Science at the University of Illinois at Chicago. He has a Ph.D. in Biophysics. He has received numerous awards for his research. He has served as co-editor for several journal articles.
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