  A mutation in a protein-coding gene in DNA can alter the protein structure
coded by the same gene. Structurally altered proteins usually lose their
functions and sometimes gain an undesirable function instead. These types of
mutations and their effects can result in genetic diseases or antibiotic
resistant bacteria, among other health issues. Important curing methods have
been developed for detecting mutations against AIDS as well as genetic
diseases. Another example is the influenza virus. The reasons why a vaccination
developed to fight against influenza does not work the following year are (a)
the mutation of its DNA and (b) the outbreak of the virus after it has been
mutated especially if it is a virus that escaped the vaccinations target. Due
to such reasons, it is highly important to know in advance the location of a
potential mutation in a protein as well as the problems it might cause the
medical sciences. In this study we have used artificial neural networks, which
are one of the latest artificial intelligence technologies, to determine the
effects of cancer mutations. The model we developed has given more successful
results compared to other methods. We foresee that our model will bring a new
dimension to medical research and the medical industry.
