Antibody-recruiting protein-catalyzed capture agents to combat antibiotic-resistant bacteria
Year: 2020
Type: article
Abstract: Antibiotic resistant infections are projected to cause over 10 million deaths by 2050, yet the development of new antibiotics has slowed. This points to an urgent need for methodologies for the rapid development of antibiotics against emerging drug resistant pathogens. We report on a generalizable combined computational and synthetic approach, called antibody-recruiting protein-catalyzed capture agents (AR-PCCs), to address this challenge. We applied the combinatorial PCC technology to identify macrocyclic peptide ligands against highly conserved surface protein epitopes of carbapenem-resistant Klebsiella pneumoniae , an opportunistic gram-negative pathogen with drug resistant strains. Multi-omic data combined with bioinformatic analyses identified epitopes of the highly expressed MrkA surface protein of K. pneumoniae for targeting in PCC screens. The top-performing ligand exhibited high-affinity (EC 50 ∼50 nM) to full-length MrkA, and selectively bound to MrkA-expressing K. pneumoniae , but not to other pathogenic bacterial species. AR-PCCs conjugated with immunogens promoted antibody recruitment to K. pneumoniae , leading to phagocytosis and phagocytic killing by macrophages. The rapid development of this highly targeted antibiotic implies that the integrated computational and synthetic toolkit described here can be used for the accelerated production of antibiotics against drug resistant bacteria.
Source: Chemical Science
DOI: 10.1039/c9sc04842a
Institution: Institute for Systems Biology
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: diamond
Awards: A systems approach to manipulate microbial adaptation to structured environments, G1242324316, G1306973634, ABI Innovation: A framework to predictably manipulate a microbial gene regulatory program, Can a modest change in regulation of NOD1 expression have a major impact on inflammation and gastric cancer?, G4950536974, A systems analysis of drug tolerance in Mycobacterium tuberculosis
OpenAlex ID: W3006672551
