文献检索

查找使用阿拉丁产品的科研文献

检索与阿拉丁产品相关的同行评审论文、DOI、PubMed 编号、期刊、作者、CAS 号及研究领域。

科研影响力快照

与阿拉丁产品相关的已发表科研成果

在搜索之前,这些指标可帮助访客快速了解产品关联科研的规模与质量。

346,364+ SCI 论文 与阿拉丁产品引用相关
2,295,288.15 总影响因子 匹配文献记录中影响因子的总和
81.20 最高期刊影响因子 匹配期刊中的最高 IF
6.63 平均期刊影响因子 匹配文献的平均 IF

参考指标 指标基于阿拉丁文献引用数据库及期刊影响因子记录。文献关联仅供科研参考,请以原始文献为准。

产品列表

视图 列表 网格

3 项

设置提升方向
连翘苷A
Communications Chemistry · 2025 ·Vol. 8 ·期 1 ·1-12 · IF 6.2

Structure-based discovery of forsythoside A as an effective inhibitor to reduce the neurotoxicity of amyloid β

Bai Si-Cong,Wang Ye-Cheng,Ye Wei-Lin,Wu Sheng-Yen,Jia Lee,Hong Liu,Xie Huan-Zhang,Li Gao

Abnormal amyloid beta (Aβ) aggregation is a key factor in Alzheimer’s disease (AD) pathology. Despite efforts to develop Aβ aggregation inhibitors, efficient screening strategies remain limited. Here, we initially applied structure-based virtual screening to target Aβ fibril ends, aiming to identify compounds that could effectively combat AD neurodegeneration. Using this approach, we screened a traditional Chinese medicine library with thousands of compounds, and selected high-scoring hits likely to inhibit fibril elongation or promote fibril depolymerization. Forsythoside A emerged as the most potent inhibitor, effectively reducing Aβ 40 aggregation and disassembling pre-formed fibrils, as confirmed through biophysical assays and surface plasmon resonance analysis. Chemical kinetics further elucidated its inhibitory mechanism. In Caenorhabditis elegans , forsythoside A alleviated Aβ-induced toxicity and extended the lifespan of the AD transgenic models. Further virtual screening and experimental validation using a CNS-penetrant compound library confirmed the robustness of our strategy. Our study underscores the effectiveness of virtual screening in the identification of Aβ aggregation inhibitors and emphasizes the critical significance of targeting fibril ends.

研究领域: 结构生物学 · 药物筛选 · 神经科学 · 生物物理学
✓ 已验证 DOI PubMed 高影响因子
查看原文 查看 PubMed
JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS · 2025 · IF 3.1

Data mining guided affinity ultrafiltration for rapid screening of SARS-CoV-2 3CLpro inhibitors in medicinal herbs

Liqing Wang,Menghan Chen,Hanxue Wang,Qihui Sun,Sujuan Zheng,Xiaoyun Liu,Yong Yang,Rong Rong

Clinical studies have demonstrated that many traditional Chinese medicines (TCM) exhibit not only antiviral effects but also efficacy in alleviating clinical symptoms of Coronavirus Disease 2019 (COVID-19). However, the pharmacologically active constituents responsible for their anti-COVID-19 efficacy remain unclear. This study aimed to establish a novel strategy for identifying active ingredients from herbs clinically used for COVID-19. An integrated approach combining data mining with Affinity Ultrafiltration (AUF) was developed. Initially, using a data mining strategy, high-frequency herbs were selected from the herbs clinically used in COVID-19. Furthermore, AUF technology was used to screen for potential bioactive components from the high-frequency herbs. The anti-COVID-19 potential of active compounds was assessed through enzyme activity assays and molecular docking, followed by validation in cellular and animal models. Data mining revealed that Glycyrrhiza uralensis Fisch., Lonicera japonica Thunb. and Forsythia suspensa (Thunb.) Vahl were the high-frequency herbs used in COVID-19. Five potential 3-Chymotrypsin-like protease (3CL pro ) inhibitors were screened from three herbs via AUF and identified using high-resolution mass spectrometry. Further enzymatic and cellular assays demonstrated that Licochalcone C (LCC) and Forsythiaside A (FTA) inhibited Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) replication at micromolar concentrations. Notably, FTA treatment significantly suppressed the elevation of pulmonary parameters and inflammatory mediators induced by SARS-CoV-2 nucleocapsid protein in mice. In summary, this study proposes a novel strategy integrating data mining with AUF to discover active compounds from TCM. Two components, LCC and FTA, were identified as dose-dependent inhibitors of SARS-CoV-2 Omicron strain replication in vitro.

CAS / MDL: 60940-34-3
研究领域: 药理学 · 病毒学 · 药物化学 · 生物信息学 · 植物学
✓ 已验证 产品关联 DOI PubMed 高影响因子
查看原文 查看 PubMed
MOLECULES · 2025 ·Vol. 30 ·期 5 ·1187 · IF 4.6

Forsythiaside A Reduces Acetaminophen Hepatotoxic Metabolism by Inhibiting Pregnane X Receptor

Sisi Pu,Yangyang Pan,Zuoyang Wang,Huimin Liu,Jianhui Zhang,Qian Zhang,Meng Wang

Overdose intake of acetaminophen (APAP) causes liver injury involving hepatic drug metabolism and activation of oxidative stress pathways, and forsythiaside A (FA) has hepatoprotective pharmacological activity, but knowledge of the mechanism of FA treatment for APAP liver injury is still lacking the literature. In this study, we investigated the effects of FA on the pregnane X receptor (PXR) by molecular docking and reporter gene assays. In addition, we explored the effects of FA on oxidative stress, endoplasmic reticulum stress (ERS), apoptosis, and hepatic pathology by interfering withPXRin ex vivo and in vivo models. The results showed that FA decreased thePXRprotein expression level and effectively reduced the oxidative stress level in the APAP model. In addition, FA reduced the expression of ERS pathway ProteinkinaseR-likeERkinase (PERK)-translation initiation factor 2 (eIF-2α)-activating transcription factor 4 (ATF4) by inhibitingPXR, and at the same time, decreased the expression of apoptotic proteins C/EBP homologous protein (CHOP), Bax, Caspase 3, and Caspase 7, and elevated the expression of apoptosis-suppressing protein Bcl-2, which ultimately treated the hepatic pathology injury of APAP in mice. The present study confirmed that FA improved APAP metabolism by inhibitingPXR-mediated CYP1A2 and CYP3A11 and alleviated APAP-induced hepatic impairment by inhibiting hepatic oxidative stress, ERS, and apoptosis.

CAS / MDL: 103-90-2
研究领域: 药理学 · 毒理学 · 分子生物学 · 肝病学
✓ 已验证 产品关联 DOI PubMed 高影响因子
查看原文 查看 PubMed
已复制

文献关联基于可获得的产品、CAS、DOI 及引用记录。收录不代表作者或出版方对阿拉丁产品的背书,请以原始文献为准。