Cite
Deep Learning Enhancing Kinome-Wide Polypharmacology Profiling: Model Construction and Experiment Validation.
MLA
Li, Xutong, et al. “Deep Learning Enhancing Kinome-Wide Polypharmacology Profiling: Model Construction and Experiment Validation.” Journal of Medicinal Chemistry, vol. 63, no. 16, Aug. 2020, pp. 8723–37. EBSCOhost, https://doi.org/10.1021/acs.jmedchem.9b00855.
APA
Li, X., Li, Z., Wu, X., Xiong, Z., Yang, T., Fu, Z., Liu, X., Tan, X., Zhong, F., Wan, X., Wang, D., Ding, X., Yang, R., Hou, H., Li, C., Liu, H., Chen, K., Jiang, H., & Zheng, M. (2020). Deep Learning Enhancing Kinome-Wide Polypharmacology Profiling: Model Construction and Experiment Validation. Journal of Medicinal Chemistry, 63(16), 8723–8737. https://doi.org/10.1021/acs.jmedchem.9b00855
Chicago
Li, Xutong, Zhaojun Li, Xiaolong Wu, Zhaoping Xiong, Tianbiao Yang, Zunyun Fu, Xiaohong Liu, et al. 2020. “Deep Learning Enhancing Kinome-Wide Polypharmacology Profiling: Model Construction and Experiment Validation.” Journal of Medicinal Chemistry 63 (16): 8723–37. doi:10.1021/acs.jmedchem.9b00855.