  The noval method for mutational disease prediction using bioinformatics tools
and datasets for diagnosis the malignant mutations with powerful Artificial
Neural Network (Backpropagation Network) for classifying these malignant
mutations are related to gene(s) (like BRCA1 and BRCA2) cause a disease (breast
cancer). This noval method did not take in consideration just like adopted for
dealing, analyzing and treat the gene sequences for extracting useful
information from the sequence, also exceeded the environment factors which play
important roles in deciding and calculating some of genes features in order to
view its functional parts and relations to diseases. This paper is proposed an
enhancement of a novel method as a first way for diagnosis and prediction the
disease by mutations considering and introducing multi other features show the
alternations, changes in the environment as well as genes, comparing sequences
to gain information about the structure or function of a query sequence, also
proposing optimal and more accurate system for classification and dealing with
specific disorder using backpropagation with mean square rate 0.000000001.
Index Terms (Homology sequence, GC content and AT content, Bioinformatics,
Backpropagation Network, BLAST, DNA Sequence, Protein Sequence)
