Applications Of Bionical Simulation Computation In Bioinformatics

In recent years, simulation computation plays more and more important role in the domain of biology and medicine research. The application of computer in sequence analysis is the first great success in bioinformatics. But in this domain, there are still many unsolved problems. One of the reasons is that the speed and the efficiency of computing is not enough to feed up with the needs of data processing.With the continuous progress on genome and other sequence project, the emphasis is gradually shifting from the accumulation of data to explaination to these data. The new discoveries of biology will greatly depand on the analysis ability of combining and conjuncting these different multi-dimention and multi-measure data.Since the amount of biology data increases in a geometric series manner, for the store, the acquisition, the network communication, the processing, the data exploring and visuialisation of biology information, these will bring forward the exigent requests in theory, algorithm and software.Computer science acquires inspirations from life system. Many new concepts are proposed. It includes the Genetic Algorithm (GA), Artifical neural netwrok(ANN), computer virus and immunity system, DNA computing, artificial life. These cross of different studies enrich realtive domain and will have great progress in the future.In this dissertation, combining with the application in bioinformtics, we have used serveral computing methods inspired from life, such as GA, Covering Algorithm, ant colony system. These form a interesting loop, from life, to life. This is the characteristic and central task of the dissertationWith the help of the kernel rule of molecular biology—central dogma, we briefly introduce some basic concepts of biology in bioinformatics and summarily introduced the study contents and methods. We have studied the properties and characteristics of protein— one improtant analysis object of bioinfomatics. And we also studied the structure classification methods. We introduced the study level of protein structure,...