Not exact matches
Perhaps our
models of some of the most popular theories will be modified as new data becomes available and our analytical tools become more sensitive, but that hasn't stopped us from
building computers, vehicles, and machinery of such diversity, spanning the realms of physics, chemistry,
biology, geology, etc..
Powerful advances are also being made in using computer networks to
model neuron
biology and to
build complex neuronal networks, which should produce interesting emergent properties.
So the more that we can understand the human validation of our targets and perhaps even
build model systems that take advantage of human
biology,» the better off we'll be, he says.
«Combining exhaustive computational
modeling with synthetic
biology is more efficient and powerful than
building networks one - by - one» says the corresponding author Mark Isalan.
Key aims include developing new methods to annotate genes (characterize the parts list for
biology) and
building new methods that learn biological networks, and eventually dynamic
models (put the parts together).
The systems
biology approach often involves the development of mechanistic
models, such as the reconstruction of dynamic systems from the quantitative properties of their elementary
building blocks.