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Image Search Results
Journal: BMC Biology
Article Title: Identification of Epinastine as CD96/PVR inhibitor for cancer immunotherapy
doi: 10.1186/s12915-025-02132-y
Figure Lengend Snippet: Virtual screening of small molecules from the FDA-approved drug library. A Crystal structure of CD96 in complex with PVR (PDB Code: 6ARQ), with the binding interface highlighted in blue. B Detailed depiction of amino acids involved in the CD96/PVR interaction, with residues shown in stick representation. C Relationship between molecular weight and S-value for selected small molecules. Red indicates molecules with molecular weights between 250 and 700 and S-values of -5 or less. D-F Results of further screening of small molecules interacting with the CD96/PVR binding interface. G Distribution of S-values for the final 15 selected small molecules
Article Snippet: 1729 small molecules were obtained from
Techniques: Drug discovery, Binding Assay, Molecular Weight
Journal: Advanced Science
Article Title: VDLIN: A Deep Learning‐Based Platform for Methylcobalamin‐Inspired Immunomodulatory Compound Screening
doi: 10.1002/advs.202413775
Figure Lengend Snippet: Co7 induces Ifnb1 expression via the TLR4 signaling pathway. A) Volcano plot illustrating the distribution of differentially expressed genes (DEGs) between the Co7 and DMSO treatment groups after 3 h in RAW 264.7 cells. Fold changes are presented as log 2 transformations. Red dots represent DEGs upregulated in the Co7 group. B) Protein‐protein interaction (PPI) network analysis of differentially expressed genes (DEGs) in the Co7‐treated group compared to the DMSO group, revealing significant enrichment in pathways associated with the innate immune response and type I interferon signaling. C) KEGG pathway enrichment analysis of DEGs induced by Co7, highlighting associations with innate immune response pathways. D) Co7 (50 µmol/L) exhibiting strong antiviral effects against VSV in RAW 264.7 and HT29 cells. E) Co7 significantly reduced the inflammatory response induced by LPS, VSV, EMCV, and HSV in RAW 264.7 cells. F) Volcano plot representing the differential gene expression analysis between Co7‐ and LPS‐treated RAW 264.7 cells after 3 h of treatment. Fold changes are displayed as log 2 transformations. Red dots indicate genes upregulated in the Co7 group, while blue dots represent downregulated genes compared to LPS treatment. G) Western blot analysis demonstrating that Co7 inhibited the expression of iNOS and COX2, as well as the phosphorylation of NF‐κB‐P65 at the protein level in RAW 264.7 cells. H) Co7 significantly reduced the mortality rate in mice (n = 10 per group) following LPS challenge (20 mg/kg), compared to the PBS control group. RT‐qPCR data were presented as means ± SEM from three independent experiments. Statistical significance was determined using one‐way ANOVA with Bonferroni's multiple comparisons test (left three panels in E), paired‐samples t‐test (D, right panel of EMCV and HSV in E), or the log‐rank test (H). * P < 0.05, ** P < 0.01, and *** P < 0.001.
Article Snippet: Each inhibitor was dissolved in anhydrous DMSO and diluted to its respective working concentration: C29 (10 μM, S6597, Selleck) served as a TLR2 inhibitor; Procyanidin B1 (30 μM, HY‐N0795, MedChemExpress) acted as a
Techniques: Expressing, Gene Expression, Western Blot, Phospho-proteomics, Control, Quantitative RT-PCR
Journal: EMBO Molecular Medicine
Article Title: Micrometastasis-derived models enable drug testing for early-stage, high-risk melanoma patients
doi: 10.1038/s44321-025-00339-8
Figure Lengend Snippet: ( A ) Upper graph: Vemurafinib treatment of Mel-DCC CLs. Cells were incubated with doses ranging from 0.025 µM to 5 µM Vemurafenib for 5 days. Cell viability is shown for BRAF wt Mel-DCC-07 (red, n = 4), BRAF V600K-mutated Mel-DCC-13 (gray, n = 4), and BRAF V600E-mutated Mel-DCC-02 (black, n = 5). Lower graph: Binimetinib treatment of Mel-DCC CLs. Cells were incubated with Binimetinib at doses ranging from 0.001 µM to 1 µM for 5 days. Cell viability is shown for NRAS Q61R-mutated Mel-DCC-04 (red, n = 4), NRAS T58I-mutated Mel-DCC-07 (gray, n = 6), and NRAS Q61K-mutated Mel-DCC-01 (black, n = 4). Each dot represents the mean value ± SD of biological replicates. ( B ) Generation of a Vemurafenib-resistant BRAF-mutated melanoma cell line (Mel-DCC-11-R). Resistance was generated through stepwise exposure to increasing concentrations of Vemurafenib over the indicated timeframe. Sensitivity of Mel-DCC-11 (black, n = 3) vs. Mel-DCC-11-R (red, n = 5) to Vemurafenib is shown. Each dot represents the mean value ± SD of biological replicates. ( C ) Outcome of experimental drug testing with 315 anti-cancer drugs on BRAF V600E-mutated Mel-DCC-11 and Vemurafenib-resistant Mel-DCC-11-R, alone or in combination with 8 µM Vemurafenib (Mel-DCC-11-R + V). The number of drugs that reduce cell viability to less than 80% is indicated. ( D ) Heatmap showing the drug-induced reduction of the viability in the Vemurafenib-restistant CL, screened in the presence (Mel-DCC-11-R + V) or absence (Mel-DCC-11-R) of Vemurafenib, alongside the parental Vemurafenib-sensitive Mel-DCC-11, screened without Vemurafenib. The mean viability of two biological replicates is shown. .
Article Snippet:
Techniques: Incubation, Generated
Table S1, Supplementary Materials )." width="100%" height="100%">
Journal: Antibiotics
Article Title: Antifungal Drug Repurposing
doi: 10.3390/antibiotics9110812
Figure Lengend Snippet: Summary of the drug/compound libraries used in the antifungal drug repurposing (see also
Article Snippet:
Techniques: Drug discovery