Prediction of Mysterious Results of Dengue Serotypes using Computational Intelligence

Abstract

The core objective of this paper is to analyze the Dengue Serotypes using online biological databases & tools and to generate a novel gracious tool to carry out sequence analysis using bioinformatics algorithms and concepts on Dengue virus sequences or other organisms that will be helpful in attaining knowledge for new invention. The Dengue virus is a member of the family Flavi virus. It is transmitted to people through the bite of the mosquitoes “Aedes aegypti" and “Aedes albopictus”. Dengue virus is now believed to be the most common anthropod-borne disease (an infectious disease carried by insect vectors) in the world and the Dengue fever is also called as “Break Bone Fever”. Dengue is mainly found in the tropics because the mosquitoes require a warm climate. A major fear of epidemiologists is that the mosquitoes will develop resistance to cooler climates and then be able to infect people living in any climate. Predicting the relationship between Dengue Serotypes will definitely help the Biotechnologists and Bioinformaticians to move one step forward in discovering vaccine for Dengue. For that the tool “Sequence Miner” created with computational intelligence is much helpful. Computational intelligence comprises practical adaptation concepts, paradigms, algorithms and implementations that enable or facilitate appropriate actions (intelligent behavior) in complex and changing environment.