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De novo design of type II topoisomerase inhibitors as potential antimicrobial agents targeting a novel binding region.

ABSTRACT: By 2050, it is predicted that antimicrobial resistance will be responsible for 10 million global deaths annually, more deaths than cancer, costing the world economy $100 trillion. Clearly, strategies to address this problem are essential as bacterial evolution is rendering our current antibiotics ineffective. The discovery of an allosteric binding site on the established antibacterial target DNA gyrase offers a new medicinal chemistry strategy. As this site is distinct from the fluoroquinolone binding site, resistance is not yet documented. Using in silico molecular design methods, we have designed and synthesised a novel series of biphenyl-based inhibitors inspired by a published thiophene-based allosteric inhibitor. This series was evaluated in vitro against Escherichia coli DNA gyrase and E. coli topoisomerase IV with the most potent compounds exhibiting IC₅₀ values towards the low micromolar range for DNA gyrase and only ∼2-fold less active against topoisomerase IV. The structure-activity relationships reported herein suggest insights to further exploit this allosteric site, offering a pathway to overcome developing fluoroquinolone resistance.

SUBMITTER: Orritt KM

PROVIDER: S-EPMC9298182 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature

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<i>De novo</i> design of type II topoisomerase inhibitors as potential antimicrobial agents targeting a novel binding region.

Orritt Kyle M KM Feng Lipeng L Newell Juliette F JF Sutton Jack N JN Grossman Scott S Germe Thomas T Abbott Lauren R LR Jackson Holly L HL Bury Benjamin K L BKL Maxwell Anthony A McPhillie Martin J MJ Fishwick Colin W G CWG

RSC medicinal chemistry 20220616 7

By 2050, it is predicted that antimicrobial resistance will be responsible for 10 million global deaths annually, more deaths than cancer, costing the world economy $100 trillion. Clearly, strategies to address this problem are essential as bacterial evolution is rendering our current antibiotics ineffective. The discovery of an allosteric binding site on the established antibacterial target DNA gyrase offers a new medicinal chemistry strategy. As this site is distinct from the fluoroquinolone b ...[more]

PMID: 35919336

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Project description:Antibody-based therapeutics provides novel and efficacious treatments for a number of diseases. Traditional experimental approaches for designing therapeutic antibodies rely on raising antibodies against a target antigen in an immunized animal or directed evolution of antibodies with low affinity for the desired antigen. However, these methods remain time consuming, cannot target a specific epitope and do not lead to broad design principles informing other studies. Computational design methods can overcome some of these limitations by using biophysics models to rationally select antibody parts that maximize affinity for a target antigen epitope. This has been addressed to some extend by OptCDR for the design of complementary determining regions. Here, we extend this earlier contribution by addressing the de novo design of a model of the entire antibody variable region against a given antigen epitope while safeguarding for immunogenicity (Optimal Method for Antibody Variable region Engineering, OptMAVEn). OptMAVEn simulates in silico the in vivo steps of antibody generation and evolution, and is capable of capturing the critical structural features responsible for affinity maturation of antibodies. In addition, a humanization procedure was developed and incorporated into OptMAVEn to minimize the potential immunogenicity of the designed antibody models. As case studies, OptMAVEn was applied to design models of neutralizing antibodies targeting influenza hemagglutinin and HIV gp120. For both HA and gp120, novel computational antibody models with numerous interactions with their target epitopes were generated. The observed rates of mutations and types of amino acid changes during in silico affinity maturation are consistent with what has been observed during in vivo affinity maturation. The results demonstrate that OptMAVEn can efficiently generate diverse computational antibody models with both optimized binding affinity to antigens and reduced immunogenicity.

Dataset Information

De novo design of type II topoisomerase inhibitors as potential antimicrobial agents targeting a novel binding region.

Publications

<i>De novo</i> design of type II topoisomerase inhibitors as potential antimicrobial agents targeting a novel binding region.

Similar Datasets

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