7Computational Methods for Signal Transduction: A Network Approach

Giovanni Scardoni1, Gabriele Tosadori1, John Morris2, Sakshi Pratap3, Carlo Laudanna4, and Alice Han5

1 Center for Biomedical Computing, University of Verona, Verona, Italy

2 Resource for Biocomputing, Visualization and Informatics, University of California, San Francisco, CA, USA

3 Birla Institute of Technology & Science, Goa, India

4 Department of Pathology and Diagnostics, University of Verona, Verona, Italy

5 Chem Bio & Exposure Sci Team, Pacific Northwest National Laboratory, Richland, WA, USA

7.1 Introduction

Systems biology is a field that aims to investigate the properties of complex biological responses by utilizing models to describe molecular interactions and adaptations [1]. For instance, molecular information (e.g. changes in gene or protein expression, metabolite formation) can be compiled to form pathways and networks that capture the biological response. Signal transduction networks describe how information is processed and disseminated among various biological molecules, principally proteins, but can also involve enzymes and metabolites. Cell signaling largely relies on protein–protein interactions (PPIs) and signaling cascades to regulate essential cellular activities. As the name suggests, PPIs encompass all interactions that take place between specific proteins, and elucidating the network of protein communication is a current endeavor of immense interest and importance. Recent efforts to map the human ...

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