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.