 Connection
Daniel LaBarbera to Small Molecule Libraries
This is a "connection" page, showing publications Daniel LaBarbera has written about Small Molecule Libraries.
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Connection Strength |
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0.768 |
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Yoo BH, Axlund SD, Kabos P, Reid BG, Schaack J, Sartorius CA, LaBarbera DV. A high-content assay to identify small-molecule modulators of a cancer stem cell population in luminal breast cancer. J Biomol Screen. 2012 Oct; 17(9):1211-20.
Score: 0.388
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Abbott JM, Zhou Q, Esquer H, Pike L, Broneske TP, Rinaldetti S, Abraham AD, Ramirez DA, Lunghofer PJ, Pitts TM, Regan DP, Tan AC, Gustafson DL, Messersmith WA, LaBarbera DV. First-in-Class Inhibitors of Oncogenic CHD1L with Preclinical Activity against Colorectal Cancer. Mol Cancer Ther. 2020 08; 19(8):1598-1612.
Score: 0.168
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Li L, Zhou Q, Voss TC, Quick KL, LaBarbera DV. High-throughput imaging: Focusing in on drug discovery in 3D. Methods. 2016 Mar 01; 96:97-102.
Score: 0.123
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Li Q, Chen C, Kapadia A, Zhou Q, Harper MK, Schaack J, LaBarbera DV. 3D models of epithelial-mesenchymal transition in breast cancer metastasis: high-throughput screening assay development, validation, and pilot screen. J Biomol Screen. 2011 Feb; 16(2):141-54.
Score: 0.088
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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