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http://dx.doi.org/10.17703/IJACT.2022.10.2.201

AllEC: An Implementation of Application for EC Numbers Prediction based on AEC Algorithm  

Park, Juyeon (Dept. of Computer and Electronic Engineering, Sunmoon University)
Park, Mingyu (Dept. of Computer and Electronic Engineering, Sunmoon University)
Han, Sora (Dept. of Life Science and Biochemical Engineering, Graduate School, Sunmoon University)
Kim, Jeongdong (Div. of Computer Science and Engineering, Sunmoon University)
Oh, Taejin (Dept. of Life Science and Biochemical Engineering, Graduate School, Sunmoon University)
Lee, Hyun (Div. of Computer Science and Engineering, Sunmoon University)
Publication Information
International Journal of Advanced Culture Technology / v.10, no.2, 2022 , pp. 201-212 More about this Journal
Abstract
With the development of sequencing technology, there is a need for technology to predict the function of the protein sequence. Enzyme Commission (EC) numbers are becoming markers that distinguish the function of the sequence. In particular, many researchers are researching various methods of predicting the EC numbers of protein sequences based on deep learning. However, as studies using various methods exist, a problem arises, in which the exact prediction result of the sequence is unknown. To solve this problem, this paper proposes an All Enzyme Commission (AEC) algorithm. The proposed AEC is an algorithm that executes various prediction methods and integrates the results when predicting sequences. This algorithm uses duplicates to give more weights when duplicate values are obtained from multiple methods. The largest value, among the final prediction result values for each method to which the weight is applied, is the final prediction result. Moreover, for the convenience of researchers, the proposed algorithm is provided through the AllEC web services. They can use the algorithms regardless of the operating systems, installation, or operating environment.
Keywords
Bioinformatics; Amino Acid Sequence; Enzyme Commission Number; Function Prediction; All Enzyme Commission;
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