Botanical drugs: a new strategy for structure-based target prediction

Panaxadiol targeting IL2 inducible T cell kinase promotes T cell immunity in radiotherapy

Ginseng, as a traditional Chinese medicine, has a good protective effect against radiotherapy, but its mechanism in radiotherapy still needs to be further explored. The active ingredients of Ginseng were analyzed according to pharmacodynamics in the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) database, and the target genes of active ingredients were screened by UniProt, PubChem and Swiss target prediction database. The differentially expressed genes of GSE6871 and GSE20162 were analyzed from the GEO database. Further, cluster analysis and enrichment analysis were carried out through protein-protein interaction network to determine hub gene. Next, build the drug-disease target network, conduct molecular docking simulation, and determine the key ingredients and targets of Ginseng on radiotherapy. We screened 16 active ingredients of Ginseng and 747 target genes from the TCMSP database. Eighty-two common differentially expressed genes were obtained by the GEO database. After topological analysis, we finally determined CD28, FYN, IL2 inducible T cell kinase (ITK), MYC and CD247 as hub genes. After integrating the drug-disease target network and molecular docking, we found that Panaxadiol, as an active ingredient of Ginseng, can target ITK to participate in T cell signal receptor pathway and act on radiotherapy. Panaxadiol can act on the key target ITK of radiotherapy, participate in T cell signal receptor pathway, and then affect the proliferation, differentiation and immune response of radiotherapy T cells, so as to reduce the side effects of radiotherapy.

TAIGET: A small-molecule target identification and annotation web server

Background: Accurate target identification of small molecules and downstream target annotation are important in pharmaceutical research and drug development.

Methods: We present TAIGET, a friendly and easy to operate graphical web interface, which consists of a docking module based on AutoDock Vina and LeDock, a target screen module based on a Bayesian–Gaussian mixture model (BGMM), and a target annotation module derived from >14,000 cancer-related literature works.

Results: TAIGET produces binding poses by selecting ≤5 proteins at a time from the UniProt ID-PDB network and submitting ≤3 ligands at a time with the SMILES format. Once the identification process of binding poses is complete, TAIGET then screens potential targets based on the BGMM. In addition, three medical experts and 10 medical students curated associations among drugs, genes, gene regulation, cancer outcome phenotype, 2,170 cancer cell types, and 73 cancer types from the PubMed literature, with the aim to construct a target annotation module. A target-related PPI network can be visualized by an interactive interface.

Conclusion: This online tool significantly lowers the entry barrier of virtual identification of targets for users who are not experts in the technical aspects of virtual drug discovery. The web server is available free of charge at http://www.taiget.cn/.

Anti-tumor pharmacology of natural products targeting mitosis

Cancer has been an insurmountable problem in the history of medical science. The uncontrollable proliferation of cancer cells is one of cancer’s main characteristics, which is closely associated with abnormal mitosis. Targeting mitosis is an effective method for cancer treatment. This review summarizes several natural products with anti-tumor effects related to mitosis, focusing on targeting microtubulin, inducing DNA damage, and modulating mitosis-associated kinases. Furthermore, the main disadvantages of several typical compounds, including drug resistance, toxicity to non-tumor tissues, and poor aqueous solubility and pharmacokinetic properties, are also discussed, together with strategies to address them. Improved understanding of cancer cell mitosis and natural products may pave the way to drug development for the treatment of cancer.

Isovitexin protects against acute liver injury by targeting PTEN, PI3K and BiP via modification of m6A

Isovitexin (IVT) has been shown to have a potential therapeutic effect on acute liver injury (ALI), but its underlying mechanisms especially the targets remain unclear, which was investigated in the present study. Briefly, the targets of IVT were predicted by bioinformatics and then were verified by multiple examinations using molecular docking, cellular thermal shift assay (CETSA), and Lipopolysaccharide/D-Galactosamine (LPS/D-GalN)-induced ALI animal model. The bioinformatic analysis predicted that the target genes of IVT against ALI were enriched into the PI3K/Akt and ERS-related pathways, in which, molecular docking and CETSA examination verified that the binding sites of IVT likely were PTEN, PI3K and BiP. Furthermore, the possible targets were also verified by animal experiments. The results revealed that IVT significantly ameliorated the hepatic injury, as evidenced by the attenuation of histopathological changes and the reduction in serum aminotransferase and total bilirubin activities. In addition, IVT treatment led to the reduction of PTEN, BiP and ERS-related targets expressions, as well as the elevation of PI3K, Akt and mTOR expressions. Notably, IVT significantly decreased total hepatic m6A level and m6A enrichment of PTEN and BiP, suggesting IVT regulated PTEN and BiP by modulating m6A modification. To sum up, the results indicate that IVT significantly ameliorates ALI, which is attributed to its ability to regulate the PI3K/Akt pathway and ERS by targeting PTEN, PI3K and BiP via modification of m6A. Our finding demonstrates that IVT may be a promising natural medicine for the treatment of ALI.