Ontology highlight
ABSTRACT:
SUBMITTER: Machutta CA
PROVIDER: S-EPMC5520047 | biostudies-literature | 2017 Jul
REPOSITORIES: biostudies-literature
Machutta Carl A CA Kollmann Christopher S CS Lind Kenneth E KE Bai Xiaopeng X Chan Pan F PF Huang Jianzhong J Ballell Lluis L Belyanskaya Svetlana S Besra Gurdyal S GS Barros-Aguirre David D Bates Robert H RH Centrella Paolo A PA Chang Sandy S SS Chai Jing J Choudhry Anthony E AE Coffin Aaron A Davie Christopher P CP Deng Hongfeng H Deng Jianghe J Ding Yun Y Dodson Jason W JW Fosbenner David T DT Gao Enoch N EN Graham Taylor L TL Graybill Todd L TL Ingraham Karen K Johnson Walter P WP King Bryan W BW Kwiatkowski Christopher R CR Lelièvre Joël J Li Yue Y Liu Xiaorong X Lu Quinn Q Lehr Ruth R Mendoza-Losana Alfonso A Martin John J McCloskey Lynn L McCormick Patti P O'Keefe Heather P HP O'Keeffe Thomas T Pao Christina C Phelps Christopher B CB Qi Hongwei H Rafferty Keith K Scavello Genaro S GS Steiginga Matt S MS Sundersingh Flora S FS Sweitzer Sharon M SM Szewczuk Lawrence M LM Taylor Amy A Toh May Fern MF Wang Juan J Wang Minghui M Wilkins Devan J DJ Xia Bing B Yao Gang G Zhang Jean J Zhou Jingye J Donahue Christine P CP Messer Jeffrey A JA Holmes David D Arico-Muendel Christopher C CC Pope Andrew J AJ Gross Jeffrey W JW Evindar Ghotas G
Nature communications 20170717
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 ...[more]