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After glycolysis, the charged pyruvate molecules enter the mitochondria via active transport and undergo three enzymatic reactions. These reactions ensure that pyruvate can enter the next metabolic pathway so that energy stored in the pyruvate molecules can be harnessed by the cells.
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Cells make energy by breaking down macromolecules. Cellular respiration is the biochemical process that converts "food energy" (from the chemical bonds of macromolecules) into chemical energy in the form of adenosine triphosphate (ATP). The first step of this tightly regulated and intricate process is glycolysis. The word glycolysis originates from the Latin glyco (sugar) and lysis (breakdown). Glycolysis serves two main intracellular functions: generating ATP and generating...
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Related Experiment Video

Updated: Aug 4, 2025

Identification of Novel CK2 Kinase Substrates Using a Versatile Biochemical Approach
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Roadmap to Pyruvate Kinase M2 Modulation - A Computational Chronicle.

Saumya Kapoor1, Deep Rohan Chatterjee1, Moumita Ghosh Chowdhury1

  • 1Department of Medicinal Chemistry, National Institute of Pharmaceutical Education and Research, Ahmedabad, Opposite Air force Station Palaj, Gandhinagar-382355, Gujarat, India.

Current Drug Targets
|March 31, 2023
PubMed
Summary

Computational tools are crucial for discovering new anti-cancer drugs targeting Pyruvate kinase M2 (PKM2). This review explores in silico methods to identify novel PKM2 modulators for cancer therapy.

Keywords:
<i>in silico</i>CADDQSARanti-cancer therapycancermodulatorspyruvate kinase M2

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Area of Science:

  • Biochemistry and Molecular Biology
  • Computational Chemistry and Drug Discovery
  • Oncology

Background:

  • Pyruvate kinase M2 (PKM2) is overexpressed in cancer cells, supporting their high energy demands.
  • PKM2's structural versatility (tetrameric and dimeric forms) presents opportunities for targeted modulation.
  • Targeting PKM2 is a promising strategy for developing novel anti-cancer therapies.

Conclusions:

  • Computational tools are indispensable for the rational design of novel PKM2 modulators.
  • In silico strategies accelerate the discovery of potential anti-cancer agents targeting PKM2.
  • Future perspectives highlight the continued importance of computational methods in PKM2-targeted drug discovery.