9.1 9.1 Introduction
Analysis of the DNA sequences of genes is important and necessary in the study of genetics, yet we still can not comprehend the whole meanings of DNA sequences. Many methods can be applied to their analysis, and the artificial neural network is one of the most frequent methods used to obtain the characteristic features of DNA sequences. Here we show how, though trial application, artificial neural networks acquire the features of splicing sites of DNA sequences.
When a protein is produced from a DNA chain, the sequence of the DNA is transcribed to the messenger RNA (mRNA). Then transfer RNA (tRNA) binds to the codons of the mRNA. Finally, the amino acids are polymerized to the protein. Not all the codons in the corresponding portion of DNA sequence are always translated to amino acids, however. After transcription to premature mRNA, the splicing process removes the noncoding sequences, called introns, and splices together with the remaining parts of premature mRNA,...
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Leondes, C.T. (2003). An Application of Artificial Neural Networks to DNA Sequence Analysis. In: Leondes, C.T. (eds) Computational Methods in Biophysics, Biomaterials, Biotechnology and Medical Systems. Springer, Boston, MA. https://doi.org/10.1007/0-306-48329-7_9
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DOI: https://doi.org/10.1007/0-306-48329-7_9
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