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Drug Discovery Today|September 19, 2021
Opportunities for overcoming tuberculosis: Emerging targets and their inhibitorsLiu Yang, Xueping Hu, Xin Chai, et al.
Journal of Chemical Information and Modeling|September 10, 2021
Molecular View on the Dissociation Pathways and Transactivation Regulation Mechanism of Nonsteroidal GR LigandsHaiyi Chen, Rui Zhou, Jinping Pang, et al.
Drug Discovery Today|May 23, 2020
Advances in the computational development of androgen receptor antagonistsXueping Hu, Xin Chai, Xuwen Wang, et al.
Medicinal Research Reviews|December 21, 2018
A magic drug target: Androgen receptorDan Li, Wenfang Zhou, Jinping Pang, et al.
Briefings in Bioinformatics|December 20, 2021
Comprehensive assessment of deep generative architectures for de novo drug designMingyang Wang, Huiyong Sun, Jike Wang, et al.
Genomics, Proteomics & Bioinformatics|January 15, 2019
Discovery of Novel Androgen Receptor Ligands by Structure-based Virtual Screening and BioassaysWenfang Zhou, Mojie Duan, Weitao Fu, et al.
Nucleic Acids Research|October 17, 2020
CovalentInDB: a comprehensive database facilitating the discovery of covalent inhibitorsHongyan Du, Junbo Gao, Gaoqi Weng, et al.
Briefings in Bioinformatics|June 3, 2020
Beware of the generic machine learning-based scoring functions in structure-based virtual screeningChao Shen, Ye Hu, Zhe Wang, et al.
Briefings in Bioinformatics|January 8, 2021
Accuracy or novelty: what can we gain from target-specific machine-learning-based scoring functions in virtual screening?Chao Shen, Gaoqi Weng, Xujun Zhang, et al.
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