MIPT scientists come up with faster way to discover antibiotics using semi-automatic analysis and a nonresistant strain of the Escherichia coli bacteria as a model organism.

Today's world is almost unimaginable without them. However, the rise of antibiotic resistance in bacteria -- that is, their acquired ability to withstand the effects of drugs -- creates a constant need for new drugs.
New studies may take years and are hence becoming unprofitable for pharmaceutical companies. This is why novel methods for discovering new classes of antibiotic drugs are of the essence.
"The development of new antibacterial drugs designed to overcome the resistance of clinically important bacterial strains has attracted considerable scientific and social interest. However, this process is mostly focused on identifying structural analogues within the already known antibiotic classes," said study co-author Anastasia Aladinskaya, a researcher at the Laboratory of Medical Chemistry and Bioinformatics of the Moscow Institute of Physics and Technology (MIPT).
"We, on the contrary, think that discovering new chemotypes is more effective in the search for antibacterial drugs."
Researchers from MIPT and their colleagues from Skoltech, Lomonosov Moscow State University, and the Russian Academy of Sciences Institute of Biochemistry and Genetics in Ufa, devised and applied a semi-automatic analysis method and used a nonresistant strain of the Escherichia coli bacteria as a model organism. The method relies on bacterial activity control and clearly shows the mechanism of action of different compounds.
"Together with our colleagues, the MIPT lab performed high-throughput screening of small-molecule libraries to identify structurally diverse compounds with antibacterial activity. The screening platform employs a previously described unique method designed to determine the mechanism of action of an antibiotic drug. In the course of the study, we discovered a class of small molecules -- 2-pyrazol-1-yl-thiazole derivatives -- with the capacity to inhibit a strain of E. coli known as £GTolC E. coli," Aladinskaya explained. "These research findings are a starting point for further investigation of this chemotype, including its subsequent structural optimization."
Interestingly, it was the first time this property was ever observed. As a result, the scientists selected eight compounds that inhibited protein synthesis and measured their toxicity to cells. One of the compounds had an optimal balance between its cytostatic and antibacterial properties.
Thanks to the new method, which enables rapid and effective screening of vast numbers of substances, a novel class of compounds with antibacterial activity was identified. Plans are underway to study their properties against antibiotic-resistant strains.
The focus of the Medicinal Chemistry and Bioinformatics Lab, led by Yan Ivanenkov, is on the development of small medicinal molecules using the latest methods in chemo- and bioinformatics. It is one of a handful of Russian laboratories directly and actively engaged in the development of innovative medicinal molecules.
Some of them are currently on clinical trials in the U.S. and elsewhere, while others are being assessed in preclinical research. Among them are the prokaryotic translation inhibitors (antibacterial medicinal molecules) developed in collaboration with the Belozersky Institute of Physico-Chemical Biology and DHMEQ.
Another research focus of the laboratory is the creation of specialized mathematical algorithms and computer programs. As of today, six unique computer programs have been created for solving various problems in the fields of medicinal chemistry and chemoinformatics.
Major pharmaceutical companies, including ChemDiv, Novartis, Sanofi, Merck, Bayer, Pfizer, and Takeda, have commissioned research at the laboratory.
Source-Eurekalert
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