2022
DOI: 10.1016/j.compbiomed.2022.105410
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Caffeoyl malic acid is a potential dual inhibitor targeting TNFα/IL-4 evaluated by a combination strategy of network analysis-deep learning-molecular simulation

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Cited by 7 publications
(8 citation statements)
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“…From the traditional Chinese medicine database in Taiwan, and computer algorithms, they identified that the CMA molecule was able to inhibit the key therapeutic targets of TNFa and IL‐4. The study findings suggest that CMA is a potential dual TNF‐α/IL‐4 inhibitor for the treatment of AD 30 …”
Section: Discussionmentioning
confidence: 81%
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“…From the traditional Chinese medicine database in Taiwan, and computer algorithms, they identified that the CMA molecule was able to inhibit the key therapeutic targets of TNFa and IL‐4. The study findings suggest that CMA is a potential dual TNF‐α/IL‐4 inhibitor for the treatment of AD 30 …”
Section: Discussionmentioning
confidence: 81%
“…Another study of caffeoyl malic acid (CMA) for the treatment of AD 30 . Tumor Necrosis Factor‐a (TNF‐α) is actively involved in inflammation processes and Interleukin‐4 (IL‐4) is a key cytokine in the development of the allergic inflammation.…”
Section: Discussionmentioning
confidence: 99%
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“…ANPELA 1.0 has become popular and indispensable as an instructive tool in quantitative bulk proteomics for disease prediction, [1][2][3] biomarker discovery, [4][5][6] innovative drug target identification, [7,8] novel peptide exploration, [9,10] experimental scheme establishment, [11] bioinformatic algorithm comparison, and development. [12][13][14] Although bulk proteome profiling has become progressively quantitative and comprehensive, [12,15] it has historically been limited to the relatively large sample cohorts required to satisfy an in-depth measurement, which typically represents a population average and obscure significant cellular heterogeneity.…”
Section: Introductionmentioning
confidence: 99%