2019
DOI: 10.1016/j.biopha.2018.10.162
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Systems pharmacology uncover the mechanism of anti-non-small cell lung cancer for Hedyotis diffusa Willd

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Cited by 30 publications
(18 citation statements)
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“…Natural products have long been used widely as a significant source of therapeutically effective drugs, and their importance in the prevention and treatment of tumors is becoming increasingly evident [18]. In addition, an increasing number of Chinese herbal medicines and extracts have been shown to exhibit anti-inflammatory, antioxidative, and antiliver fibrosis and anticancer effects [1922]. These findings suggest that Chinese herbal medicines and extracts have great potential in the treatment of many diseases.…”
Section: Discussionmentioning
confidence: 99%
“…Natural products have long been used widely as a significant source of therapeutically effective drugs, and their importance in the prevention and treatment of tumors is becoming increasingly evident [18]. In addition, an increasing number of Chinese herbal medicines and extracts have been shown to exhibit anti-inflammatory, antioxidative, and antiliver fibrosis and anticancer effects [1922]. These findings suggest that Chinese herbal medicines and extracts have great potential in the treatment of many diseases.…”
Section: Discussionmentioning
confidence: 99%
“…We investigated human target genes/proteins that interact with active phytochemical compounds in SMT using the Search Tool for Interactions of Chemicals (STITCH) 5 [65], Similarity Ensemble Approach (SEA) [66], Swis-sTargetPrediction [67,68], and PharmMapper [69]. Computational modeling methods, including systematic drug targeting tool (SysDt) [70] and weighted ensemble similarity (WES) algorithm [71], were also employed for target identification as descried previously [72][73][74][75][76][77][78]. Subsequently, we confirmed detailed information regarding the targets, including their scientific name, relevant gene/protein ID, and organism, and further standardized the targets using Uniprot [79].…”
Section: Investigation Of the Targets Of Active Compounds In Smtmentioning
confidence: 99%
“…To identify the potential therapeutic targets of SMT, we employed an in silico approach to assess the biological interactions between the active phytochemical compounds and human genes/proteins using STITCH 5 [65], SEA [66], SwissTargetPrediction [67,68], and PharmMapper [69]. Computational modeling methods such as SysDt [70] and WES algorithm [71] were also employed for target identification as descried previously [72][73][74][75][76][77][78]. Hence, a total of 230 targets were obtained for the 16 active phytochemical compounds in SMT (Supplementary Table S3).…”
Section: Identification Of the Targets Of Active Phytochemicalmentioning
confidence: 99%
“…In TCM formula, the characteristics "multi-component, multi-target, and multi-pathway" present a tremendous challenge in understanding of the interactions between components and their mechanisms of action (Jiang et al, 2019). Fortunately, systems pharmacology, as a new discipline based on the basic theories of pharmacology and systems biology pharmacology, integrating pharmacology feature mapping, multiple targeting techniques, network pharmacology, and pathway analyses, has gradually become a powerful tool to investigate the therapeutic mechanisms of TCM (Su et al, 2019;Zhou et al, 2019). For example, Liu et al found 33 compounds with potential anticancer effects from Scutellaria barbata D. Don and investigated their mechanisms in treating non-small cell lung cancer by systems pharmacology method (Liu et al, 2018).…”
Section: Introductionmentioning
confidence: 99%