๐Ÿง‘๐Ÿผโ€๐Ÿ’ป Research - March 26, 2025

Genetic and Cheminformatic Characterization of Mycobacterium tuberculosis Inhibitors Discovered in the Molecular Libraries Small Molecule Repository.

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โšก Quick Summary

This study conducted a high-throughput screening (HTS) of small molecules from the Molecular Libraries Small Molecule Repository (MLSMR), identifying 935 compounds that inhibit the growth of Mycobacterium tuberculosis. The research highlights the discovery of 101 isoniazid analogs and new compounds with potential alternative mechanisms of action, paving the way for future drug development.

๐Ÿ” Key Details

  • ๐Ÿ“Š Compounds screened: 935 inhibitors of Mycobacterium tuberculosis
  • ๐Ÿงฌ Mechanisms explored: katG, hadAB, and mmpL3 mutants
  • ๐Ÿ” Key findings: 101 isoniazid analogs identified, with some retaining activity against katG mutants
  • โš—๏ธ New compounds: Nitrofuranyl benzothiazoles showing enhanced activity

๐Ÿ”‘ Key Takeaways

  • ๐Ÿ”ฌ High-throughput screening is crucial for identifying potential drug candidates against tuberculosis.
  • ๐Ÿ’ก Isoniazid analogs provide insights into alternative mechanisms of action beyond katG.
  • ๐Ÿงช New scaffolds targeting HadAB and MmpL3 were discovered, expanding the arsenal against tuberculosis.
  • โš ๏ธ Collateral sensitivity observed in nitro-containing compounds could inform future drug combinations.
  • ๐Ÿค– AI-driven drug discovery is supported by the well-characterized training set from this study.
  • ๐ŸŒ Implications for global health are significant, as tuberculosis remains a major public health challenge.

๐Ÿ“š Background

Tuberculosis (TB) is a leading cause of morbidity and mortality worldwide, necessitating the continuous search for effective treatments. The Molecular Libraries Small Molecule Repository (MLSMR) serves as a valuable resource for drug discovery, particularly through high-throughput screening (HTS) methods. Understanding the mechanisms of action of potential drug candidates is essential for developing effective therapies against resistant strains of Mycobacterium tuberculosis.

๐Ÿ—’๏ธ Study

The study involved an initial HTS of the MLSMR, where researchers identified 935 compounds that inhibited the growth of Mycobacterium tuberculosis. To further characterize these hits, a combination of cheminformatics and targeted mutant screening was employed, focusing on mutants in the katG, hadAB, and mmpL3 genes. This approach aimed to elucidate the mechanisms of action of the identified compounds.

๐Ÿ“ˆ Results

The study successfully identified 101 isoniazid analogs that lost their antimycobacterial activity against the katG mutant, validating the screening method. Notably, eight of these analogs retained partial activity, indicating a potential KatG-independent mechanism. Additionally, the exploration of nitro-containing compounds revealed nitrofuranyl benzothiazoles with enhanced activity against both mmpL3 and katG mutants, showcasing a phenomenon known as collateral sensitivity.

๐ŸŒ Impact and Implications

The findings from this study have significant implications for the future of tuberculosis treatment. By identifying compounds with alternative mechanisms of action, researchers can develop new therapeutic strategies that may overcome existing drug resistance. Furthermore, the integration of artificial intelligence in drug discovery, supported by the well-characterized data from this research, could accelerate the development of effective antimycobacterial agents.

๐Ÿ”ฎ Conclusion

This study underscores the importance of high-throughput screening and cheminformatics in the quest for new tuberculosis treatments. The identification of novel compounds and mechanisms of action not only enhances our understanding of Mycobacterium tuberculosis but also opens new avenues for drug development. Continued research in this area is essential to combat the ongoing global challenge of tuberculosis.

๐Ÿ’ฌ Your comments

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Genetic and Cheminformatic Characterization of Mycobacterium tuberculosis Inhibitors Discovered in the Molecular Libraries Small Molecule Repository.

Abstract

High-throughput screening (HTS) of small molecules is a starting point for many drug development pipelines, including tuberculosis. These screens often result in multiple hits whose mechanisms of action remain unknown. From our initial HTS of the Molecular Libraries Small Molecule Repository (MLSMR), we cherry-picked 935 compounds that inhibited the growth of Mycobacterium tuberculosis and set out to provide an early assessment of their antimycobacterial properties and mechanism of action. To characterize the MLSMR Mtb growth inhibitors, a combination of cheminformatics and targeted mutant screening against mutants in katG, hadAB, and a mixed pool of mmpL3 mutants was used to characterize the hits. As a validation of this approach, we identified 101 isoniazid analogs that predictably lose all their antimycobacterial activities against the katG mutant. Interestingly, eight isoniazid analogs retain part of their activity against the mutant, suggesting an alternative KatG-independent mechanism. This approach also identified new compounds belonging to already known scaffolds that target HadAB or MmpL3. Additionally, we explored the nitro-containing compounds in our data set and discovered nitrofuranyl benzothiazoles that show enhanced activity against the mmpL3 and katG mutants, a phenomenon known as collateral sensitivity. Overall, this study will serve as an important resource for further follow-up studies of antitubercular small molecules in the MLSMR library and provide a well-characterized training set for artificial intelligence-driven antimycobacterial drug discovery.

Author: [‘Eke IE’, ‘Williams JT’, ‘Abramovitch RB’]

Journal: ACS Infect Dis

Citation: Eke IE, et al. Genetic and Cheminformatic Characterization of Mycobacterium tuberculosis Inhibitors Discovered in the Molecular Libraries Small Molecule Repository. Genetic and Cheminformatic Characterization of Mycobacterium tuberculosis Inhibitors Discovered in the Molecular Libraries Small Molecule Repository. 2025; (unknown volume):(unknown pages). doi: 10.1021/acsinfecdis.4c00936

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