SSF-DDI: a deep learning method utilizing drug sequence and substructure features for drug–drug interaction prediction.

MLA

Zhu, Jing, et al. “SSF-DDI: A Deep Learning Method Utilizing Drug Sequence and Substructure Features for Drug–drug Interaction Prediction.” BMC Bioinformatics, vol. 25, no. 1, Jan. 2024, pp. 1–18. EBSCOhost, https://doi.org/10.1186/s12859-024-05654-4.

APA

Zhu, J., Che, C., Jiang, H., Xu, J., Yin, J., & Zhong, Z. (2024). SSF-DDI: a deep learning method utilizing drug sequence and substructure features for drug–drug interaction prediction. BMC Bioinformatics, 25(1), 1–18. https://doi.org/10.1186/s12859-024-05654-4

Chicago

Zhu, Jing, Chao Che, Hao Jiang, Jian Xu, Jiajun Yin, and Zhaoqian Zhong. 2024. “SSF-DDI: A Deep Learning Method Utilizing Drug Sequence and Substructure Features for Drug–drug Interaction Prediction.” BMC Bioinformatics 25 (1): 1–18. doi:10.1186/s12859-024-05654-4.