In Silico Biology

Computational biology Computational molecular biology Biocomputing in silico biology... 

Adapted from Robert Harrison, Protecting innovation in bioinformatics and in-silico biology. Biodrugs 2003 17(4) 227-31. 

Palsson B. The challenges of in silico biology - moving from a reductionist paradigm to one that views cells as systems will necessitate changes in both the culture and the practice of research. Nature Biotechnol 2000 18 1147-1150. 

M. Kollmann and V. Sourjik, In silico biology from simulation to understanding. Curr. Biol. 17, R132 134 (2007). 

Impossible experiments become possible Mathematical models allow for in silico biology. Experiments that might be impossible biochemically can be conducted using the computer. 

Bernhard Palsson, The challenges of in silico biology. Nature Biotechnology, 18 (2000), 1147-1150. 

Landgrebe J, Bretz F, Brunner E (2004) Eflicient two-sample designs for microarray experiments with biological rephcations. In Silico Biology 4 461-470. 

In Silico Literally in the computer. It can be used to screen out compounds which are not druggable. Narrower terms include in silico biology, in silico modeling, in silico proteomics, in silico screening, and so forth. 

In silico models of anthrax release can be used to bridge the gap to help predict consequences of human exposure in the event of an outbreak or biological attack scenario. Several modeling studies have been published (Wein et al., 2003) in attempts to assess anthrax risk. The model of Wein et al. (2003) assumes a point-release of 1 kg of spores at a height of 100 m over a city of 10 million inhabitants. The effects on mortality of different antibiotic treatment strategies in an urbanized anthrax release are examined. This in silico biological weapon attack results in more than 100,000 deaths, given that both symptomatic and as)miptomatic persons receive antibiotics and the model incorporates availability and distribution parameters. In the base case, an approximation of... 

---