| Influenza A viruses have extremely strong variability, it is one of the epidemics whichhave caused the most death and sickness in people. The influenza pandemic will break outwhen the new subtype emerges or old subtype of influenza A viruses reemerges. Four largeinfluenza A virus epidemics have happened since the20th century and caused great damageeach time for the human public health and social economic development. So the study ofinfluenza A virus has gradually become an important research direction of many researchers.At present, the main research is about the flu virus DNA, RNA, and protein sequences, use ofbiochemistry, biophysics, and statistics methods to study the variations of its sequence andfind the genetic regularity.At first, the recent variation and epidemic about influenza A viruses were introduced.The ten kinds of protein were regarded as the research object on the study. The ten kinds ofprotein amino acid sequences of influenza A virus were collected from the National Center forBiotechnology database in a range from1902to2013, and analyzed with the big dataprogramming in MATLAB. Meanwhile, the protein sequences were converted to the dataseries with detailed HP model and CGR-Walk model, the time series ARFIMA (p, d, q) wasintroduced to fit all the sequences. In addition, the variation analysis of10protein sequencesin80years was performed to predict tendency of10years later. The analysis results indicatethat the model can accurately predict the variation tendency in the next10years. On the basisof the influenza A viruses amino sequence, this paper searched the protein three-dimensionalstructure of the influenza A (H1N1) virus according to the method of ab initio to researchprotein spatial structure. This paper established the3DHP model of the Influenza A (H1N1)virus protein spatial structure and used the improved genetic algorithm to find the structurewith minimum free energy, aiming at predicting the three-dimensional structure of influenza A(H1N1) virus protein. For the HP lattice model is too simple, considering that the typical virusparticles of the influenza A (H1N1) virus shows the shape of globularity,20kinds of aminoacids were divided into four categories according to different forming ability ofresidue-contact between the amino acid residues in the globular structure. Thus, the HNXPmodel of the Influenza A (H1N1) virus was established and the optimization geneticalgorithm was applied to find the three-dimensional structure of influenza A (H1N1) viruswith minimum free energy. With sparse typical correlation analysis, the comparison betweenthe predicted and real structure was carried out, and it can be concluded that the structures arein a good agreement.The study focused on the three-dimensional structure prediction of influenza A(H1N1)virus by employing the biological information in amino acids sequences formed by20kindsof amino acids,and the research on the amino acid sequence of influenza A(H1N1) wasexpanded to three dimension. The study can contribute to providing the references for thethree dimensional structure prediction instead of the simple amino acids sequences. |
