Predicting 3D structure of proteins from genomic sequences: A genetic algorithm approach

The paper proposes a methodology for predicting 3D structure of proteins using genetic algorithm. It uses genomic sequences for the experimental purpose. In order to give a complete representation of known and unknown genomic sequences of similar kind, the known collection of sequences are made to evolve. The evolved sequences are subjected to offer consensus of the sequences. This consensus is used for generating a primary protein sequence, which is used for predicting the 3D structure of protein. The genomic sequences used for the study are that of Human Pappillamovirus, which causes cervical cancer, among many other diseases.