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논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2021.10
- 수록면
- 59 - 59 (1page)
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Successful bioprocess requires accurate understanding and optimal engineering of a production host’s metabolism. Optimization of a bioprocess has now been better facilitated by the increasing availability of bio big data and the use of machine learning methods [1, 2]. Here, two deep learning models will be presented, namely DeepEC [3] and DeepRFC [4]. DeepEC is a deep learning model that predicts enzyme commission (EC) numbers with high precision in a high-throughput manner by taking a protein sequence as an input [3]. Prediction of EC numbers is essential for accurately understanding enzyme functions and metabolism, especially during genome annotation. ... 전체 초록 보기
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