ECNet is an evolutionary context-integrated deep learning framework for protein engineering
Protein engineering is an active area of research in which machine learning has proven quite powerful. Here, the authors present a deep learning method that integrates both general and protein-specific sequence representations to improve the engineering of one’s protein of interest.
Main Authors: | Yunan Luo, Guangde Jiang, Tianhao Yu, Yang Liu, Lam Vo, Hantian Ding, Yufeng Su, Wesley Wei Qian, Huimin Zhao, Jian Peng |
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Format: | Article |
Language: | English |
Published: |
Nature Publishing Group
2021-09-01
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Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-021-25976-8 |
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