桔青霉
吲哚试验
化学
计算生物学
立体化学
组合化学
食品科学
生物
作者
Yuanyang Peng,Shang Luo,Qin Li,Yongqi Li,Jiale Zhang,Nanjin Ding,Weiguang Sun,Chunmei Chen,Junjun Liu,Ying Ye,Hucheng Zhu,Yonghui Zhang
出处
期刊:Organic Letters
[American Chemical Society]
日期:2025-04-02
卷期号:27 (14): 3673-3678
标识
DOI:10.1021/acs.orglett.5c00564
摘要
The building blocks-based molecular network (BBMN) strategy is effective for targeted natural product identification but depends on existing MS/MS data. To address this, we propose the simulated MS/MS-guided molecular network (SMMN) strategy, which combines virtual molecule design and MS/MS simulation to identify novel compounds containing target building blocks. We developed the MZmol Analyzer, a user-friendly web tool, to automate the SMMN strategy. Using this approach and the target 6-methyl-l-pipecolate (6-MeP), we identified two new indole alkaloid hybrids, crienamides A and B. In vitro immunosuppressive assays showed that both compounds inhibited ConA-induced cell proliferation, with IC50 values of 2.86 ± 1.33 μM and 0.96 ± 1.22 μM, respectively.
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