Prediction and Visualisation of Viral Genome Antigen Using Deep Learning & Artificial Intelligence

Generally, human samples contain different viruses and their structure tends to vary from sample to sample. Henceforth, identification and classification of human viruses remains as a major challenge. The infection will set aside some efforts to get completely adjust to the flow of human or creature, who remain contagious to the new host. This data can be important for establishing effective infectious prevention and annihilation. Currently, the protein data bank comprises of 40,000 proteins with complex structure (PDB). This extension of resolved structures gives valuable insights to the specific three-dimensional structure of a protein chain, the interaction of chains in quaternary complexes and the prediction of primary sequence structures. The three-dimensional structure of a protein is described by a protein feature. The protein activity can be predicted due to the structural similarities with other known proteins. These informed predictions.