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A deep learning approach to evaluate the feasibility of enzymatic reactions generated by retrobiosynthesis
Author(s) -
Kim Yeji,
Ryu Jae Yong,
Kim Hyun Uk,
Jang Woo Dae,
Lee Sang Yup
Publication year - 2021
Publication title -
biotechnology journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.144
H-Index - 84
eISSN - 1860-7314
pISSN - 1860-6768
DOI - 10.1002/biot.202000605
Subject(s) - computer science , deep learning , artificial neural network , deep neural networks , artificial intelligence , synthetic biology , reaction conditions , similarity (geometry) , training set , combinatorial chemistry , machine learning , biochemical engineering , chemistry , computational biology , biochemistry , engineering , image (mathematics) , biology , catalysis