Finally, the optimal feature vectors are input to support vector machine (SVM) classifier to predict protein structural classes. Then the extracted feature information is denoised by two-dimensional (2D) wavelet. Firstly, the features of the protein sequence are extracted by using Chou's pseudo amino acid composition (PseAAC). Based on the theory of wavelet denoising, this paper presents a novel method of prediction of protein structural class for the first time. Prediction of protein structural class for low-similarity sequences is still a challenging task. Electronic address: of protein structural class plays an important role in protein structure and function analysis, drug design and many other biological applications. 5 College of Mathematics and Physics, Qingdao University of Science and Technology, Qingdao 266061, China Bioinformatics and Systems Biology Research Center, Qingdao University of Science and Technology, Qingdao 266061, China. Electronic address: 2 College of Mathematics and Physics, Qingdao University of Science and Technology, Qingdao 266061, China. Electronic address: 1 College of Mathematics and Physics, Qingdao University of Science and Technology, Qingdao 266061, China CAS Key Laboratory of Geospace Environment, Department of Geophysics and Planetary Science, University of Science and Technology of China, Hefei 230026, China Bioinformatics and Systems Biology Research Center, Qingdao University of Science and Technology, Qingdao 266061, China. 4 School of Mathematics and Statistics, Shandong University at Weihai, Weihai 264209, China.3 College of Mathematics and Physics, Qingdao University of Science and Technology, Qingdao 266061, China Bioinformatics and Systems Biology Research Center, Qingdao University of Science and Technology, Qingdao 266061, China.1 College of Mathematics and Physics, Qingdao University of Science and Technology, Qingdao 266061, China CAS Key Laboratory of Geospace Environment, Department of Geophysics and Planetary Science, University of Science and Technology of China, Hefei 230026, China Bioinformatics and Systems Biology Research Center, Qingdao University of Science and Technology, Qingdao 266061, China.Textbook content produced by OpenStax is licensed under a Creative Commons Attribution License. Use the information below to generate a citation. Then you must include on every digital page view the following attribution: If you are redistributing all or part of this book in a digital format, Then you must include on every physical page the following attribution: If you are redistributing all or part of this book in a print format, Want to cite, share, or modify this book? This book uses the You can choose any term of the sequence, and add 3 to find the subsequent term. In this case, the constant difference is 3. The sequence below is another example of an arithmetic sequence. For this sequence, the common difference is –3,400. Each term increases or decreases by the same constant value called the common difference of the sequence. The values of the truck in the example are said to form an arithmetic sequence because they change by a constant amount each year. In this section, we will consider specific kinds of sequences that will allow us to calculate depreciation, such as the truck’s value. The truck will be worth $21,600 after the first year $18,200 after two years $14,800 after three years $11,400 after four years and $8,000 at the end of five years. The loss in value of the truck will therefore be $17,000, which is $3,400 per year for five years. After five years, she estimates that she will be able to sell the truck for $8,000. One method of calculating depreciation is straight-line depreciation, in which the value of the asset decreases by the same amount each year.Īs an example, consider a woman who starts a small contracting business. This decrease in value is called depreciation. The book-value of these supplies decreases each year for tax purposes.
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