Identification of Potential JNK3 Inhibitors: A Combined Approach Using Molecular Docking and Deep Learning-Based Virtual Screening
Chenpeng Yao(Zhejiang Lab), Bo Yang(Tongde Hospital of Zhejiang Province), Xiaowu Dong(Second Affiliated Hospital of Zhejiang University), Zheyuan Shen(Second Affiliated Hospital of Zhejiang University), Lei Xu(China Pharmaceutical University), Jingyi Zhao(Zhejiang University), Ji Cao(Zhejiang Lab), Kailibinuer Kadier(Zhejiang University), Liteng Shen(Zhejiang Lab), Yu Guo(Zhejiang Institute of Mechanical and Electrical Engineering)
Cited by 13
Related Papers
Majorbio Cloud: A one‐stop, comprehensive bioinformatic platform for multiomics analyses
|iMeta|2022|857
DJ-1 suppresses ferroptosis through preserving the activity of S-adenosyl homocysteine hydrolase
|Nature Communications|2020|245
PARP1 Suppresses the Transcription of PD-L1 by Poly(ADP-Ribosyl)ating STAT3
|Cancer Immunology Research|2018|160
Identification of PRDX6 as a regulator of ferroptosis
|Acta Pharmacologica Sinica|2019|160