Systematic Understanding of the Mechanism of Salvianolic Acid A via Computational Target Fishing.
Systematic Understanding of the Mechanism of Salvianolic Acid A via Computational Target Fishing.
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DOI：
10.3390/molecules22040644
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发表时间：
2017-04-17
期刊：
影响因子：
--
通讯作者：
Cui MC
中科院分区：
文献类型：
--
作者：
Chen SJ;Cui MC
丹参素A（SAA）是从中药丹参中分离得到的最丰富的水溶性抗氧化活性物质之一。尚需对其作用机制进行系统概述。在本研究中，使用TCMSP服务器测量SAA的可药用性，并通过PharmMapper和DRAR-CPI确定SAA的潜在靶点。然后通过GeneMANIA和GO途径分析评估交叉靶点，并构建药物-靶点-途径网络以提供可视化视图。结果表明，SAA具有良好的药物活性，并鉴定了13个可能的蛋白质靶点。网络分析表明，这些靶点与癌症、代谢和其他生理过程相关。总之，预测SAA靶向多个蛋白质和途径，以形成发挥系统药理作用的网络。
Salvianolic acid A (SAA) is one of the most abundant water-soluble and potent anti-oxidative compounds isolated from Danshen, a traditional Chinese medicine. A systematic overview of its mechanism of action is yet to be performed. In the present study, the druggability of SAA was measured using the TCMSP server, and potential targets of SAA were identified by PharmMapper and DRAR-CPI. Intersecting targets were then assessed by GeneMANIA and GO pathway analysis, and drug-target-pathway networks were constructed to give a visual view. The results showed that SAA has good druggability, and 13 putative protein targets were identified. Network analysis showed that these targets were associated with cancer, metabolism and other physiological processes. In summary, SAA is predicted to target multiple proteins and pathways to form a network that exerts systematic pharmacological effects.
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