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.

Bibliographic Details
Main Authors: Yunan Luo, Guangde Jiang, Tianhao Yu, Yang Liu, Lam Vo, Hantian Ding, Yufeng Su, Wesley Wei Qian, Huimin Zhao, Jian Peng
Format: Article
Language:English
Published: Nature Publishing Group 2021-09-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-021-25976-8