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molecule named bms3  (TargetMol)


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    Structured Review

    TargetMol molecule named bms3
    High-throughput screening using a small molecule inhibitor library. (A) , A schematic workflow showing the high-throughput screening performed in the OVCA432-nAc-citrine cell line, using TargetMol small molecule inhibitor library and high-content screening followed by a deep learning approach. (B) , Representative images of OVCA432-nAc-citrine cells treated with 2.5 µM <t>BMS3</t> to inhibit LIM kinases, or UM164 to inhibit Src and MAPK kinases. Cells were fixed and stained after 6 h inhibitor treatment. The images were captured using high-content screening. Green, nAc-citrine. Blue, DAPI. Scale bar, 20 µm. (C) , The deep learning pipeline is composed of two steps: annotation of nuclear F-actin structures and detection of cells with the presence of nuclear F-actin. The output is shown as cells in which nuclear F-actin structures were detected.
    Molecule Named Bms3, supplied by TargetMol, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/molecule named bms3/product/TargetMol
    Average 90 stars, based on 1 article reviews
    molecule named bms3 - by Bioz Stars, 2026-05
    90/100 stars

    Images

    1) Product Images from "Investigation of the Potential Mechanisms Underlying Nuclear F-Actin Organization in Ovarian Cancer Cells by High-Throughput Screening in Combination With Deep Learning"

    Article Title: Investigation of the Potential Mechanisms Underlying Nuclear F-Actin Organization in Ovarian Cancer Cells by High-Throughput Screening in Combination With Deep Learning

    Journal: Frontiers in Cell and Developmental Biology

    doi: 10.3389/fcell.2022.869531

    High-throughput screening using a small molecule inhibitor library. (A) , A schematic workflow showing the high-throughput screening performed in the OVCA432-nAc-citrine cell line, using TargetMol small molecule inhibitor library and high-content screening followed by a deep learning approach. (B) , Representative images of OVCA432-nAc-citrine cells treated with 2.5 µM BMS3 to inhibit LIM kinases, or UM164 to inhibit Src and MAPK kinases. Cells were fixed and stained after 6 h inhibitor treatment. The images were captured using high-content screening. Green, nAc-citrine. Blue, DAPI. Scale bar, 20 µm. (C) , The deep learning pipeline is composed of two steps: annotation of nuclear F-actin structures and detection of cells with the presence of nuclear F-actin. The output is shown as cells in which nuclear F-actin structures were detected.
    Figure Legend Snippet: High-throughput screening using a small molecule inhibitor library. (A) , A schematic workflow showing the high-throughput screening performed in the OVCA432-nAc-citrine cell line, using TargetMol small molecule inhibitor library and high-content screening followed by a deep learning approach. (B) , Representative images of OVCA432-nAc-citrine cells treated with 2.5 µM BMS3 to inhibit LIM kinases, or UM164 to inhibit Src and MAPK kinases. Cells were fixed and stained after 6 h inhibitor treatment. The images were captured using high-content screening. Green, nAc-citrine. Blue, DAPI. Scale bar, 20 µm. (C) , The deep learning pipeline is composed of two steps: annotation of nuclear F-actin structures and detection of cells with the presence of nuclear F-actin. The output is shown as cells in which nuclear F-actin structures were detected.

    Techniques Used: High Throughput Screening Assay, High Content Screening, Staining

    Identification of kinases that are involved in nuclear F-actin assembly in ovarian cancer cells. (A) , Summary of the primary screen using 1247 compounds (small molecule inhibitors). The normalized values for OVCA432-nAc-citrine cells treated with individual inhibitors are shown. (B) , KEGG analysis of proteins potentially targeted by the compounds, that reduce the percentage of cells with nuclear F-actin by more than 20%, or increase the percentage of cells with nuclear F-actin by more than 15%. (C) , The effect of 36 inhibitors targeting PI3K-Akt pathway on nuclear F-actin proportion in OVCA432-nAc-citrine cells. BMS3 was used as a positive control. The orange circles and blue squares represent two biological replicates. (D) , Representative images of OVCA432-nAc-citrine cells treated with DMSO, BMS3 or HG-9-91-01. Scale bar, 20 µm.
    Figure Legend Snippet: Identification of kinases that are involved in nuclear F-actin assembly in ovarian cancer cells. (A) , Summary of the primary screen using 1247 compounds (small molecule inhibitors). The normalized values for OVCA432-nAc-citrine cells treated with individual inhibitors are shown. (B) , KEGG analysis of proteins potentially targeted by the compounds, that reduce the percentage of cells with nuclear F-actin by more than 20%, or increase the percentage of cells with nuclear F-actin by more than 15%. (C) , The effect of 36 inhibitors targeting PI3K-Akt pathway on nuclear F-actin proportion in OVCA432-nAc-citrine cells. BMS3 was used as a positive control. The orange circles and blue squares represent two biological replicates. (D) , Representative images of OVCA432-nAc-citrine cells treated with DMSO, BMS3 or HG-9-91-01. Scale bar, 20 µm.

    Techniques Used: Positive Control



    Similar Products

    molecule named bms3  (TargetMol)
    90
    TargetMol molecule named bms3
    High-throughput screening using a small molecule inhibitor library. (A) , A schematic workflow showing the high-throughput screening performed in the OVCA432-nAc-citrine cell line, using TargetMol small molecule inhibitor library and high-content screening followed by a deep learning approach. (B) , Representative images of OVCA432-nAc-citrine cells treated with 2.5 µM <t>BMS3</t> to inhibit LIM kinases, or UM164 to inhibit Src and MAPK kinases. Cells were fixed and stained after 6 h inhibitor treatment. The images were captured using high-content screening. Green, nAc-citrine. Blue, DAPI. Scale bar, 20 µm. (C) , The deep learning pipeline is composed of two steps: annotation of nuclear F-actin structures and detection of cells with the presence of nuclear F-actin. The output is shown as cells in which nuclear F-actin structures were detected.
    Molecule Named Bms3, supplied by TargetMol, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/molecule named bms3/product/TargetMol
    Average 90 stars, based on 1 article reviews
    molecule named bms3 - by Bioz Stars, 2026-05
    90/100 stars
    		  Buy from Supplier

    Image Search Results


    High-throughput screening using a small molecule inhibitor library. (A) , A schematic workflow showing the high-throughput screening performed in the OVCA432-nAc-citrine cell line, using TargetMol small molecule inhibitor library and high-content screening followed by a deep learning approach. (B) , Representative images of OVCA432-nAc-citrine cells treated with 2.5 µM BMS3 to inhibit LIM kinases, or UM164 to inhibit Src and MAPK kinases. Cells were fixed and stained after 6 h inhibitor treatment. The images were captured using high-content screening. Green, nAc-citrine. Blue, DAPI. Scale bar, 20 µm. (C) , The deep learning pipeline is composed of two steps: annotation of nuclear F-actin structures and detection of cells with the presence of nuclear F-actin. The output is shown as cells in which nuclear F-actin structures were detected.

    Journal: Frontiers in Cell and Developmental Biology

    Article Title: Investigation of the Potential Mechanisms Underlying Nuclear F-Actin Organization in Ovarian Cancer Cells by High-Throughput Screening in Combination With Deep Learning

    doi: 10.3389/fcell.2022.869531

    Figure Lengend Snippet: High-throughput screening using a small molecule inhibitor library. (A) , A schematic workflow showing the high-throughput screening performed in the OVCA432-nAc-citrine cell line, using TargetMol small molecule inhibitor library and high-content screening followed by a deep learning approach. (B) , Representative images of OVCA432-nAc-citrine cells treated with 2.5 µM BMS3 to inhibit LIM kinases, or UM164 to inhibit Src and MAPK kinases. Cells were fixed and stained after 6 h inhibitor treatment. The images were captured using high-content screening. Green, nAc-citrine. Blue, DAPI. Scale bar, 20 µm. (C) , The deep learning pipeline is composed of two steps: annotation of nuclear F-actin structures and detection of cells with the presence of nuclear F-actin. The output is shown as cells in which nuclear F-actin structures were detected.

    Article Snippet: The TargetMol small inhibitor library includes a molecule named BMS3, which has been reported to target LIMK kinase ( ).

    Techniques: High Throughput Screening Assay, High Content Screening, Staining

    Identification of kinases that are involved in nuclear F-actin assembly in ovarian cancer cells. (A) , Summary of the primary screen using 1247 compounds (small molecule inhibitors). The normalized values for OVCA432-nAc-citrine cells treated with individual inhibitors are shown. (B) , KEGG analysis of proteins potentially targeted by the compounds, that reduce the percentage of cells with nuclear F-actin by more than 20%, or increase the percentage of cells with nuclear F-actin by more than 15%. (C) , The effect of 36 inhibitors targeting PI3K-Akt pathway on nuclear F-actin proportion in OVCA432-nAc-citrine cells. BMS3 was used as a positive control. The orange circles and blue squares represent two biological replicates. (D) , Representative images of OVCA432-nAc-citrine cells treated with DMSO, BMS3 or HG-9-91-01. Scale bar, 20 µm.

    Journal: Frontiers in Cell and Developmental Biology

    Article Title: Investigation of the Potential Mechanisms Underlying Nuclear F-Actin Organization in Ovarian Cancer Cells by High-Throughput Screening in Combination With Deep Learning

    doi: 10.3389/fcell.2022.869531

    Figure Lengend Snippet: Identification of kinases that are involved in nuclear F-actin assembly in ovarian cancer cells. (A) , Summary of the primary screen using 1247 compounds (small molecule inhibitors). The normalized values for OVCA432-nAc-citrine cells treated with individual inhibitors are shown. (B) , KEGG analysis of proteins potentially targeted by the compounds, that reduce the percentage of cells with nuclear F-actin by more than 20%, or increase the percentage of cells with nuclear F-actin by more than 15%. (C) , The effect of 36 inhibitors targeting PI3K-Akt pathway on nuclear F-actin proportion in OVCA432-nAc-citrine cells. BMS3 was used as a positive control. The orange circles and blue squares represent two biological replicates. (D) , Representative images of OVCA432-nAc-citrine cells treated with DMSO, BMS3 or HG-9-91-01. Scale bar, 20 µm.

    Article Snippet: The TargetMol small inhibitor library includes a molecule named BMS3, which has been reported to target LIMK kinase ( ).

    Techniques: Positive Control