ECNet: Evolutionary Context-Integrated Neural Network
CABBI Theme: Conversion
Keyword: Software
Citation
Luo, Y. Aug. 30, 2021. “loyunan/ECNet: First release (v0.1).” Zenodo. DOI: 10.5281/zenodo.5294461

An overview of ECNet, an evolutionary context-integrated, deep learning model for protein engineering.
Overview
ECNet (evolutionary context-integrated neural network) is a deep learning model that guides protein engineering by predicting protein fitness from the sequence. It integrates local evolutionary context from homologous sequences that explicitly model residue-residue epistasis for the protein of interest with the global evolutionary context that encodes rich semantic and structural features from the enormous protein sequence universe.
Data
Related Publication
Luo, Y., Jiang, G., Yu, T., Liu, Y., Vo, L., Ding, H., Su, Y., Qian, W.W., Zhao, H., Peng, J. Sept. 30, 2021. “ECNet is an Evolutionary Context-Integrated Deep Learning Framework for Protein Engineering.” Nature Communications 12, 5743. DOI: 10.1038/s41467-021-25976-8.