We strive to generate useful applications of
computational tools and ideas to genomics, molecular engineering,
medicine and fundamental understanding of biological systems ...........
Computational models can generate predictions (that often cannot be obtained
otherwise) that can be compared with reality and lead to modifications
to the model. The need to compare with reality leads to experimental
data gathering. Divergence from reality suggests experiments to nail down the
required modifications. This is normal science. I cannot see any alternative
besides stamp-collecting". (Stuart Russell).
but what if the models are really misguided....
"False facts are highly injurious to the progress of science, for they often endure long; but false views, if supported by some evidence, do little harm, for every one takes a salutary pleasure in proving their falseness." (Charles Darwin)
We would like to reverse-engineer biological life but since we don't have the source code so we often work with probabilistic models
"As far as the laws of mathematics refer to reality, they are not certain; and as far as they are certain, they do not refer to reality." (Albert Einstein)
We often build algorithms and systems and work jointly with biologists to improve their performance
There are no such things as
applied sciences, only applications of science.