DeepSoluE

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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.

Framework

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Go to Use it: DeepSoluE

Datasets and source code

training and testing datasets: download datasets

DeepSoluE-master source code: download source code

DeepSoluE-master source code Github: download source code

References

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