The present invention relates to a versatile method of identifying
protein coding
DNA sequences (genes) useful as
drug targets in a
genome using specially developed
software GeneDecipher, said method comprising steps of generating
peptide libraries from the known genomes with
peptide of length āNā computationally arranged in an alphabetical order, artificially translating the test
genome to obtain a polypeptide corresponding to each
reading frame, converting each polypeptide sequence into an
alphanumeric sequence one corresponding to each
reading frame on the basis of overlappings with the
peptide libraries, training
Artificial Neural Network (ANN) with sigmoidal learning function to the
alphanumeric sequence, deciphering the
protein coding regions in the test
genome, thus, identifying longer streches of peptides mapping to large number of known genes and their corresponding proteins and lastly, a method of the management of the diseases caused by the pathogenic organisms comprising a step of evaluation of the proposed
drug candidate by inhibiting the functioning of one or more proteins identified by the steps of the invention.