Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica
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Zhongguo Zhong Yao Za Zhi · Jan 2020
[Study on molecular mechanism of Solanum nigrum in treatment of hepatocarcinoma based on network pharmacology and molecular docking].
This study aimed to explore the main active ingredients and potential targets of Solanum nigrum(SN), so as to reveal the potential molecular mechanism of SN in the treatment of hepatocellular carcinoma(HCC) based on network pharmacology and molecular docking. First,the main active ingredients and predictive targets of SN were collected in the traditional Chinese medicine systems pharmacology database and analysis platform(TCMSP). Then,the targets relating to HCC were collected through retrieval of integrated bio-pharmacological network database for traditional Korean medicine(PharmDB-K), oncogenomic database of hepatocellular carcinoma(OncoDB.hcc). ⋯ Network analysis showed that SN may play a therapeutic role in HCC by acting on key targets, such as EGFR, TP53, MYC, CCND1 and CTNNB1. Molecular docking results showed that quercetin and EGFR could bind stably and interact through amino acid residues LEU718, LYS745 and GLN791. This study revealed the potential active ingredients and the possible molecular mechanism of SN for treatment of HCC, providing scientific basis for follow-up exploration of the molecular mechanism of SN against HCC.
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Zhongguo Zhong Yao Za Zhi · Jan 2020
[Key technologies and applications of industrial big data in manufacturing of Chinese medicine].
Along with the striding of the Chinese medicine(CM) manufacturing toward the Industry 4.0, some digital factories have accumulated lightweight industrial big data, which become part of the enterprise assets. These digital assets possess the possibility of solving the problems within the CM production system, like the Sigma gap and the poverty of manufacturing knowledge. From the holistic perspective, a three-tiered architecture of CM industrial big data is put forward, and it consists of the data integration layer, the data analysis layer and the application scenarios layer. ⋯ At last, real-world applications of CM industrial big data in manufacturing of injections, oral solid dosages, and formula particles are presented. It is shown that the industrial big data can help process diagnosis, quality forming mechanism interpretations, real time release testing method development and intelligent product formulation design. As renewable resources, the CM industrial big data enable the manufacturing knowledge accumulation and product quality improvement, laying the foundation of intelligent manufacturing.