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Host pathogen protein-protein interaction (PPI) data are very important information for illuminating infection mechanisms and for developing better prevention measures. However, host pathogen PPI data are very scarce in most host pathogen systems. Computational prediction of host pathogen PPIs is an important strategy to fill in the gap. In this book, I systemically investigate host pathogen protein-protein interactions using the H. sapiens M. tuberculosis H37Rv system as the model host pathogen system.

Produktbeschreibung
Host pathogen protein-protein interaction (PPI) data are very important information for illuminating infection mechanisms and for developing better prevention measures. However, host pathogen PPI data are very scarce in most host pathogen systems. Computational prediction of host pathogen PPIs is an important strategy to fill in the gap. In this book, I systemically investigate host pathogen protein-protein interactions using the H. sapiens M. tuberculosis H37Rv system as the model host pathogen system.
Autorenporträt
Dr. Hufeng Zhou gets his Ph. D from School of Computing, National University of Singapore, and he is currently working as postdoctoral research fellow at Harvard Medical School and Brigham and Women's Hospital. Dr. Zhou is considered the world's best scientist in computational studies of host-pathogen interaction studies.