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Chirality-driven strong thioredoxin reductase inhibition.

Mingkai Chen1, Junping Wang1, Fei Cai1

  • 1Department of Chemistry, State Key Laboratory of Bioactive Molecules and Druggability Assessment, MOE Key Laboratory of Tumor Molecular Biology, Laboratory of Viral Pathogenesis & Infection Prevention and Control, Jinan University, Guangzhou, 510632, China.

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Developing novel chiral metal complexes offers a promising strategy for highly selective thioredoxin reductase (TXNRD) inhibitors. This approach enhances non-covalent interactions, improving anticancer drug efficacy and reducing toxicity.

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ChemotherapyChiralityMetallodrugsNon-covalent interactionThioredoxin reductase

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Area of Science:

  • Medicinal Chemistry
  • Biochemistry
  • Drug Discovery

Background:

  • Overexpression of thioredoxin reductase (TXNRD) is implicated in cancer development.
  • Current TXNRD inhibitors often lack selectivity, leading to clinical toxicity.
  • Developing selective inhibitors is crucial for targeted cancer therapy.

Purpose of the Study:

  • To design highly selective chiral metal complexes as TXNRD inhibitors.
  • To enhance non-covalent interactions within the TXNRD active site for improved drug compatibility.
  • To overcome the selectivity challenges associated with traditional covalent inhibitors.

Main Methods:

  • Synthesis and characterization of chiral metal complexes.
  • In vitro assays to evaluate TXNRD inhibition.
  • Computational modeling to understand drug-target interactions.
  • Chirality manipulation to optimize drug conformation and binding.

Main Results:

  • Chiral isomeric drugs demonstrated effective binding to the TXNRD active site.
  • Drug-target interaction strength was modulated by chirality.
  • The meso-configuration showed the highest number of non-covalent interactions and strongest inhibition.
  • The strategy successfully avoided poor selectivity associated with covalent interactions.

Conclusions:

  • Chiral metal complexes offer a novel approach for developing highly selective TXNRD inhibitors.
  • Optimizing non-covalent interactions through conformational control enhances drug efficacy.
  • This work provides insights into mechanisms for designing future proteinase inhibitors with improved selectivity and reduced toxicity.