fda approved compounds Search Results


99
TargetMol fda approved drug library
Virtual screening of small molecules from <t>the</t> <t>FDA-approved</t> 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
Fda Approved Drug Library, supplied by TargetMol, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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TargetMol tlr4 inhibitor
Co7 induces Ifnb1 expression via the <t>TLR4</t> 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.
Tlr4 Inhibitor, supplied by TargetMol, used in various techniques. Bioz Stars score: 95/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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99
TargetMol ruijin anticancer drug library
Co7 induces Ifnb1 expression via the <t>TLR4</t> 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.
Ruijin Anticancer Drug Library, supplied by TargetMol, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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99
TargetMol approved drug library l1000
Co7 induces Ifnb1 expression via the <t>TLR4</t> 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.
Approved Drug Library L1000, supplied by TargetMol, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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TargetMol anti cancer approved drug library
( 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 <t>315</t> <t>anti-cancer</t> 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. .
Anti Cancer Approved Drug Library, supplied by TargetMol, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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90
BioAscent Discovery compound library screens fda-approved
( 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 <t>315</t> <t>anti-cancer</t> 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. .
Compound Library Screens Fda Approved, supplied by BioAscent Discovery, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Johns Hopkins HealthCare fda-approved drug library johns hopkins clinical compound library (jhccl) version 1.0
Summary of the drug/compound libraries used in the antifungal drug repurposing (see also <xref ref-type= Table S1, Supplementary Materials )." width="250" height="auto" />
Fda Approved Drug Library Johns Hopkins Clinical Compound Library (Jhccl) Version 1.0, supplied by Johns Hopkins HealthCare, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Prestwick Chemical fda- and ema-approved compounds
Summary of the drug/compound libraries used in the antifungal drug repurposing (see also <xref ref-type= Table S1, Supplementary Materials )." width="250" height="auto" />
Fda And Ema Approved Compounds, supplied by Prestwick Chemical, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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AnalytiCon Discovery GmbH compound libraries comprising of fda-approved drugs, synthetic and semi-synthetic natural products as well as bioactives
Summary of the drug/compound libraries used in the antifungal drug repurposing (see also <xref ref-type= Table S1, Supplementary Materials )." width="250" height="auto" />
Compound Libraries Comprising Of Fda Approved Drugs, Synthetic And Semi Synthetic Natural Products As Well As Bioactives, supplied by AnalytiCon Discovery GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Pharmakon Pharmaceuticals Inc fda approved compounds
Summary of the drug/compound libraries used in the antifungal drug repurposing (see also <xref ref-type= Table S1, Supplementary Materials )." width="250" height="auto" />
Fda Approved Compounds, supplied by Pharmakon Pharmaceuticals Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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ApexBio clinically approved compounds from apexbio fda-approved drug library
Summary of the drug/compound libraries used in the antifungal drug repurposing (see also <xref ref-type= Table S1, Supplementary Materials )." width="250" height="auto" />
Clinically Approved Compounds From Apexbio Fda Approved Drug Library, supplied by ApexBio, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Johns Hopkins HealthCare johns hopkins chemcore fda-approved compound library
Summary of the drug/compound libraries used in the antifungal drug repurposing (see also <xref ref-type= Table S1, Supplementary Materials )." width="250" height="auto" />
Johns Hopkins Chemcore Fda Approved Compound Library, supplied by Johns Hopkins HealthCare, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Image Search Results


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

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 FDA-approved drug library (Topscience, Shanghai, China).

Techniques: Drug discovery, Binding Assay, Molecular Weight

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.

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 TLR4 inhibitor; MyD88‐IN‐1 (30 μM, HY‐149992, MedChemExpress) was used to inhibit MyD88; Pepinh‐TRIF TFA (30 μM, HY‐P2565, MedChemExpress) functioned as a TRIF inhibitor; and GSK8612 (5 μM, T5540, TargetMol) inhibited TBK1/IKKε.

Techniques: Expressing, Gene Expression, Western Blot, Phospho-proteomics, Control, Quantitative RT-PCR

( 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. .

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: Anti-Cancer Approved Drug Library (315 compounds) , TargetMol , Cat# L2110.

Techniques: Incubation, Generated

Summary of the drug/compound libraries used in the antifungal drug repurposing (see also <xref ref-type= 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 Table S1, Supplementary Materials ).

Article Snippet: 1547 or 1581 FDA-approved drug library , Johns Hopkins, USA Johns Hopkins Clinical Compound Library (JHCCL) version 1.0 , C. albicans, C. auris, C. krusei, C. parapsilosis, C. tropicalis , [ , ] .

Techniques: Drug discovery