Suppr超能文献

探索新型富氟呋咱衍生物作为缺氧肿瘤抑制剂:设计、合成、药代动力学、分子对接和 DFT 评估。

Exploring novel fluorine-rich fuberidazole derivatives as hypoxic cancer inhibitors: Design, synthesis, pharmacokinetics, molecular docking, and DFT evaluations.

机构信息

Division of Inorganic Chemistry, Institute of Chemistry, Islamia University Bahawalpur, Bahawalpur, Pakistan.

Department of Chemistry, Quaid-e-Azam University, Islamabad, Pakistan.

出版信息

PLoS One. 2023 Feb 2;18(2):e0262790. doi: 10.1371/journal.pone.0262790. eCollection 2023.

Abstract

Sixteen fuberidazole derivatives as potential new anticancer bioreductive prodrugs were prepared and characterized. The in vitro anticancer potential was examined to explore their cytotoxic properties by employing apoptosis, DNA damage, and proliferation tests on chosen hypoxic cancer cells. Eight substances (Compound 5a, 5c, 5d, 5e, 5g, 5h, 5i, and 5m) showed promising cytotoxicity values compared to the standard control. The potential of compounds was also examined through in silico studies (against human serum albumin), including chem-informatics, to understand the structure-activity relationship (SAR), pharmacochemical strength, and the mode of interactions responsible for their action. The DFT calculations revealed that only the 5b compound showed the lowest ΔET (2.29 eV) while 5i showed relatively highest βtot (69.89 x 10-31 esu), highest αave (3.18 x 10-23 esu), and dipole moment (6.49 Debye). This study presents a novel class of fuberidazole derivatives with selectivity toward hypoxic cancer cells.

摘要

十六个呋咱并咪唑衍生物作为潜在的新型抗癌生物还原前药被制备和表征。通过对选定的缺氧癌细胞进行凋亡、DNA 损伤和增殖试验,考察了它们的体外抗癌潜力,以探索它们的细胞毒性特性。与标准对照相比,八种物质(化合物 5a、5c、5d、5e、5g、5h、5i 和 5m)表现出有希望的细胞毒性值。还通过计算机模拟研究(与人血清白蛋白)对化合物的潜力进行了检查,包括化学信息学,以了解结构-活性关系(SAR)、药效化学强度以及负责其作用的相互作用模式。DFT 计算表明,只有 5b 化合物表现出最低的ΔET(2.29 eV),而 5i 则表现出相对较高的βtot(69.89 x 10-31 esu)、最高的αave(3.18 x 10-23 esu)和偶极矩(6.49 Debye)。这项研究提出了一类新的呋咱并咪唑衍生物,对缺氧癌细胞具有选择性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa9c/9894469/6a9503fb647a/pone.0262790.g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验