Title |
Systems virology: host-directed approaches to viral pathogenesis and drug targeting
|
---|---|
Published in |
Nature Reviews Microbiology, June 2013
|
DOI | 10.1038/nrmicro3036 |
Pubmed ID | |
Authors |
G. Lynn Law, Marcus J. Korth, Arndt G. Benecke, Michael G. Katze |
Abstract |
High-throughput molecular profiling and computational biology are changing the face of virology, providing a new appreciation of the importance of the host in viral pathogenesis and offering unprecedented opportunities for better diagnostics, therapeutics and vaccines. Here, we provide a snapshot of the evolution of systems virology, from global gene expression profiling and signatures of disease outcome, to geometry-based computational methods that promise to yield novel therapeutic targets, personalized medicine and a deeper understanding of how viruses cause disease. To realize these goals, pipettes and Petri dishes need to join forces with the powers of mathematics and computational biology. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Canada | 4 | 44% |
United States | 2 | 22% |
Belgium | 1 | 11% |
Japan | 1 | 11% |
Switzerland | 1 | 11% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 67% |
Scientists | 2 | 22% |
Science communicators (journalists, bloggers, editors) | 1 | 11% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 2% |
Germany | 3 | 2% |
Chile | 2 | 1% |
Switzerland | 1 | <1% |
Israel | 1 | <1% |
Peru | 1 | <1% |
India | 1 | <1% |
Japan | 1 | <1% |
Poland | 1 | <1% |
Other | 0 | 0% |
Unknown | 166 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 43 | 24% |
Researcher | 38 | 21% |
Student > Master | 17 | 9% |
Student > Bachelor | 14 | 8% |
Student > Doctoral Student | 12 | 7% |
Other | 39 | 22% |
Unknown | 18 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 72 | 40% |
Biochemistry, Genetics and Molecular Biology | 35 | 19% |
Immunology and Microbiology | 19 | 10% |
Medicine and Dentistry | 6 | 3% |
Engineering | 5 | 3% |
Other | 19 | 10% |
Unknown | 25 | 14% |