Network-based identification and mechanism exploration of active ingredients against Alzheimer's disease via targeting endoplasmic reticulum stress from traditional chinese medicine.

MLA

Dai, Zhao, et al. “Network-Based Identification and Mechanism Exploration of Active Ingredients against Alzheimer’s Disease via Targeting Endoplasmic Reticulum Stress from Traditional Chinese Medicine.” Computational and Structural Biotechnology Journal, vol. 23, Dec. 2023, pp. 506–19. EBSCOhost, https://doi.org/10.1016/j.csbj.2023.12.017.

APA

Dai, Z., Hu, T., Wei, J., Wang, X., Cai, C., Gu, Y., Hu, Y., Wang, W., Wu, Q., & Fang, J. (2023). Network-based identification and mechanism exploration of active ingredients against Alzheimer’s disease via targeting endoplasmic reticulum stress from traditional chinese medicine. Computational and Structural Biotechnology Journal, 23, 506–519. https://doi.org/10.1016/j.csbj.2023.12.017

Chicago

Dai, Zhao, Tian Hu, Junwen Wei, Xue Wang, Chuipu Cai, Yong Gu, Yunhui Hu, Wenjia Wang, Qihui Wu, and Jiansong Fang. 2023. “Network-Based Identification and Mechanism Exploration of Active Ingredients against Alzheimer’s Disease via Targeting Endoplasmic Reticulum Stress from Traditional Chinese Medicine.” Computational and Structural Biotechnology Journal 23 (December): 506–19. doi:10.1016/j.csbj.2023.12.017.