3D-QSAR-Guided Molecule Design and Protein–Ligand Interaction Studies for Discovery of Succinate Dehydrogenase Inhibitors
Succinate dehydrogenase (SDH) is an ideal fungicidal target. Here, a three-dimensional quantitative structure-activity relationship (3D-QSAR) was established based on the data of 74 compounds with activity against <i>Rhizoctonia solani</i>. By integrating our previously reported 3D-QSAR findings with the current model, a series of pyrazole-containing compounds were rationally designed and synthesized. Bioassay results demonstrated that <b>B5</b>, with an EC<sub>50</sub> of 0.002 μg/mL against <i>R. solani</i>, outperformed fluxapyroxad (0.01 μg/mL). Enzyme activity assays revealed that the IC<sub>50</sub> of <b>B5</b> was 0.12 μM, significantly better than that of fluxapyroxad (0.35 μM). The <i>in vivo</i> fungicidal activity of <b>B5</b> was 94.44% at 200 μg/mL, which was comparable to that of fluxapyroxad (88.89%). Transcriptomic analysis indicated that <b>B5</b> affects the tricarboxylic acid cycle, sharing the same mode of action as the traditional succinate dehydrogenase inhibitors. Molecular docking and molecular dynamics simulations revealed that the binding modes of <b>B5</b> were strongly correlated to its potent antifungal activity. Notably, <b>B5</b>, a lead compound without a thiazole substructure, is worthy of further investigation.
Authors
- Shufang He (ORCID: https://orcid.org/0000-0001-9896-5705)
- Zhijin Fan (ORCID: https://orcid.org/0000-0001-5565-0949)
- Z. Walter Yu (ORCID: https://orcid.org/0000-0002-1843-6334)
- Taixiang Chen
- Kun Li (ORCID: https://orcid.org/0009-0003-0039-7167)
- Yiheng Zhang (ORCID: https://orcid.org/0000-0002-5474-8001)
- Jia Li (ORCID: https://orcid.org/0000-0002-7564-1262)
- Yaru Sun (ORCID: https://orcid.org/0009-0008-6681-7335)
- Liang‐Fu Tang
- Rongzhang Wu
Institutions
- Nankai University (CN)
Publication Details
- Journal
- Journal of Agricultural and Food Chemistry
- Published
- 2025-06-16
- DOI
- https://doi.org/10.1021/acs.jafc.5c03093
- Citations
- 6
- Primary Topic
- Computational Drug Discovery Methods
- Type
- article
- Field-Weighted Citation Impact
- 9.03
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China