Prioritizing multiple therapeutic targets in parallel using automated DNA-encoded library screening View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2017-07-17

AUTHORS

Carl A. Machutta, Christopher S. Kollmann, Kenneth E. Lind, Xiaopeng Bai, Pan F. Chan, Jianzhong Huang, Lluis Ballell, Svetlana Belyanskaya, Gurdyal S. Besra, David Barros-Aguirre, Robert H. Bates, Paolo A. Centrella, Sandy S. Chang, Jing Chai, Anthony E. Choudhry, Aaron Coffin, Christopher P. Davie, Hongfeng Deng, Jianghe Deng, Yun Ding, Jason W. Dodson, David T. Fosbenner, Enoch N. Gao, Taylor L. Graham, Todd L. Graybill, Karen Ingraham, Walter P. Johnson, Bryan W. King, Christopher R. Kwiatkowski, Joël Lelièvre, Yue Li, Xiaorong Liu, Quinn Lu, Ruth Lehr, Alfonso Mendoza-Losana, John Martin, Lynn McCloskey, Patti McCormick, Heather P. O’Keefe, Thomas O’Keeffe, Christina Pao, Christopher B. Phelps, Hongwei Qi, Keith Rafferty, Genaro S. Scavello, Matt S. Steiginga, Flora S. Sundersingh, Sharon M. Sweitzer, Lawrence M. Szewczuk, Amy Taylor, May Fern Toh, Juan Wang, Minghui Wang, Devan J. Wilkins, Bing Xia, Gang Yao, Jean Zhang, Jingye Zhou, Christine P. Donahue, Jeffrey A. Messer, David Holmes, Christopher C. Arico-Muendel, Andrew J. Pope, Jeffrey W. Gross, Ghotas Evindar

ABSTRACT

The identification and prioritization of chemically tractable therapeutic targets is a significant challenge in the discovery of new medicines. We have developed a novel method that rapidly screens multiple proteins in parallel using DNA-encoded library technology (ELT). Initial efforts were focused on the efficient discovery of antibacterial leads against 119 targets from Acinetobacter baumannii and Staphylococcus aureus. The success of this effort led to the hypothesis that the relative number of ELT binders alone could be used to assess the ligandability of large sets of proteins. This concept was further explored by screening 42 targets from Mycobacterium tuberculosis. Active chemical series for six targets from our initial effort as well as three chemotypes for DHFR from M. tuberculosis are reported. The findings demonstrate that parallel ELT selections can be used to assess ligandability and highlight opportunities for successful lead and tool discovery. More... »

PAGES

16081

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  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/ncomms16081

    DOI

    http://dx.doi.org/10.1038/ncomms16081

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1090738829

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/28714473


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