An end-to-end method for predicting compound-protein interactions based on simplified homogeneous graph convolutional network and pre-trained language model.

MLA

Zhang, Yufang, et al. “An End-to-End Method for Predicting Compound-Protein Interactions Based on Simplified Homogeneous Graph Convolutional Network and Pre-Trained Language Model.” Journal of Cheminformatics, vol. 16, no. 1, June 2024, pp. 1–18. EBSCOhost, https://doi.org/10.1186/s13321-024-00862-9.

APA

Zhang, Y., Li, J., Lin, S., Zhao, J., Xiong, Y., & Wei, D.-Q. (2024). An end-to-end method for predicting compound-protein interactions based on simplified homogeneous graph convolutional network and pre-trained language model. Journal of Cheminformatics, 16(1), 1–18. https://doi.org/10.1186/s13321-024-00862-9

Chicago

Zhang, Yufang, Jiayi Li, Shenggeng Lin, Jianwei Zhao, Yi Xiong, and Dong-Qing Wei. 2024. “An End-to-End Method for Predicting Compound-Protein Interactions Based on Simplified Homogeneous Graph Convolutional Network and Pre-Trained Language Model.” Journal of Cheminformatics 16 (1): 1–18. doi:10.1186/s13321-024-00862-9.