TY  - BOOK
AU  - Utsumi,Ryutaro
ED  - SpringerLink (Online service)
TI  - Bacterial Signal Transduction: Networks and Drug Targets
T2  - Advances in Experimental Medicine and Biology,
SN  - 9780387788852
U1  - 610 23
PY  - 2008///
CY  - New York, NY
PB  - Springer New York
KW  - MEDICINE
KW  - BIOMEDICINE
KW  - BIOMEDICINE GENERAL
N1  - to Bacterial Signal Transduction Networks -- The PhoQ/PhoP Regulatory Network of Salmonella enterica -- Structural Basis of the Signal Transduction in the Two-Component System -- The Two-Component Network and the General Stress Sigma Factor RpoS (?S) in Escherichia coli -- Small RNAs Controlled by Two-Component Systems -- Two-Component Signaling and Gram Negative Envelope Stress Response Systems -- Dual Regulation with Ser/Thr Kinase Cascade and a His/Asp TCS in Myxococcus xanthus -- Two-Component Signaling Systems and Cell Cycle Control in Caulobacter crescentus -- RegB/RegA, A Global Redox-Responding Two-Component System -- The BvgS/BvgA Phosphorelay System of Pathogenic Bordetellae -- Capturing the VirA/VirG TCS of Agrobacterium tumefaciens -- Quorum Sensing and Biofilm Formation by Streptococcus mutans -- The Roles of Two-Component Systems in Virulence of Pathogenic Escherichia coli and Shigella spp. -- Vancomycin Resistance VanS/VanR Two-Component Systems -- Tearing Down the Wall: Peptidoglycan Metabolism and the WalK/WalR (YycG/YycF) Essential Two-Component System -- Inhibitors Targeting Two-Component Signal Transduction
N2  - This fascinating book encourages many microbiologists and students to enter the new world of signal transduction in microbiology. Over the past decade, a vast amount of exciting new information on the signal transduction pathway in bacteria has been brought to light. Reports on these developments have been put together in this book, Bacterial Signal Transduction: Networks and Drug Targets. The aim of this book is to provide an incentive for graduate students, academic scientists, and researchers in the pharmaceutical industry to further elucidate the TCS networks and apply them in the search for novel drugs
UR  - http://dx.doi.org/10.1007/978-0-387-78885-2
ER  -