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Identification of novel PD-1/PD-L1 small molecule inhibitors: virtual screening, synthesis and in vitro characterisation.


ABSTRACT: The PD-1/PD-L1 pathway is considered as one of the most promising immune checkpoints in tumour immunotherapy. However, researchers are faced with the inherent limitations of antibodies, driving them to pursue PD-L1 small molecule inhibitors. Virtual screening followed by experimental validation is a proven approach to discover active compounds. In this study, we employed multistage virtual screening methods to screen multiple compound databases to predict new PD-1/PD-L1 ligands. 35 compounds were proposed by combined analysis of fitness scores, interaction pattern and MM-GBSA binding affinities. Enzymatic assay confirmed that 10 out of 35 ligands were potential PD-L1 inhibitors, with inhibitory rate higher than 50% at the concentration of 30 µM. Among them, ZDS20 was identified as the most effective inhibitor with low micromolar activity (IC50 = 3.27 μM). Altogether, ZDS20 carrying novel scaffold was identified and could serve as a lead for the development of new classes of PD-L1 inhibitors.

SUBMITTER: Wu T 

PROVIDER: S-EPMC11232653 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature

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Identification of novel PD-1/PD-L1 small molecule inhibitors: virtual screening, synthesis and <i>in vitro</i> characterisation.

Wu Tingting T   Cheng Hu H   Sima Lijie L   Wang Zhongyuan Z   Ouyang Weiwei W   Wang Jianta J   Hou Yunlei Y   Zhao Dongsheng D   Liao Weike W   Hu Chujiao C  

Journal of enzyme inhibition and medicinal chemistry 20240617 1


The PD-1/PD-L1 pathway is considered as one of the most promising immune checkpoints in tumour immunotherapy. However, researchers are faced with the inherent limitations of antibodies, driving them to pursue PD-L1 small molecule inhibitors. Virtual screening followed by experimental validation is a proven approach to discover active compounds. In this study, we employed multistage virtual screening methods to screen multiple compound databases to predict new PD-1/PD-L1 ligands. 35 compounds wer  ...[more]

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