DeepSoluE is developed for protein solubility prediction.
The physicochemical features and distributed amino acid representative information were combined to uncover sequence patterns in multiple aspects, and a genetic algorithm was used for optimal feature subset selection. Finally, LSTM networks were applied to integrate feature information and to perform classification.
Go to Use it: DeepSoluE
Chao Wang et al., DeepSoluE: A LSTM model for protein solubility prediction using sequence physicochemical patterns and distributed representation information, BMC biology, 2023: 21(12): https://doi.org/10.1186/s12915-023-01510-8
Chao Wang, email@example.com
Personal homepage: http://lab.malab.cn/~wangchao/