The Research Method Of Avian Influenza Virus Transit Thought Host And High Toxicity Based On Data Mining Method

With the progress of human science and technology, more and more diseases are caused, plagued by humans, and safety of human life and even produced a deadly threat to the continuation of race.This article in view of the bird flu virus has erupted several years of historical data, using data mining, the method of detailed analysis of the bird flu virus, make a theoretical basis to cure this kind of virus.The bird flu virus not only poses a great harm to poultry, and cause serious damage to the human health.But in recent years, the outbreak of bird flu has made the related data into exponential growth, simply means through the experiment to study has become increasingly difficult to breakthrough, under such situation, the introduction of data mining has become a necessity.Data mining is a new type of a multidisciplinary cross discipline, involved in many fields such as economics, management, engineering, science, and in recent years has been widely used in the study.Virus data design in this paper it is difficult to through simple statistical analysis found that the potential link.The topic for the avian influenza virus between different host glycosylation sites in the number, location, using the amino acid sequence level information such as the analysis found that does not have to distinguish whether the specificity of inter-host communication. But by the avian flu virus in poultry and human multiple sequence alignment results of comparative analysis found a four amino acid residues of specific fragments, the fragments in poultry in a high similarity and, in humans also high similarity, but in birds and humans is completely different, so be very clear distinction between different hosts of avian influenza virus. At the same time also have reason to believe that other subtypes of avian influenza virus, you can also find similar in the sequence segment, the sequence can then be the basis of such paragraph establish a preliminary identification of avian influenza virus host tools, and the emerging avian influenza virus cross host early warning.