Metabolic control analysis for drug target selection against human diseases

Javier Belmont-Díaz, Citlali Vázquez, Rusely Encalada, Rafael Moreno-Sánchez, Paul Michels*, Emma Saavedra*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract / Description of output

For identification of suitable therapeutic targets (enzymes/transporters) in intermediary metabolism of pathological and parasitic cells, the capacity of the target to govern the metabolic pathway flux should be considered. Metabolic Control Analysis (MCA) is a biochemical framework that enables to quantitate the degree of control that the activity of a target i (ai) exerts on the pathway flux (J), defined as flux control coefficient (CJai). Different experimental strategies are being used to determine the CJai of individual pathway steps, and consequently, the distribution of control in the metabolic pathway. By applying MCA, the components with the highest control on flux can be identified, which are the targets with the highest therapeutic potential. In this chapter we will review the MCA theoretical principles and experimental approaches to determine the CJai in a range of metabolic pathways such as central carbon and antioxidant metabolism, with potential application to other pathways of diverse human diseases.
Original languageEnglish
Title of host publicationDrug target identification and validation
EditorsMarcus T. Scotti , Carolina L. Bellera
PublisherSpringer Nature Switzerland AG
Number of pages26
ISBN (Electronic)978-3-030-95895-4
ISBN (Print)978-3-030-95894-7
Publication statusPublished - 18 May 2022

Publication series

NameComputer-aided drug discovery and design

Keywords / Materials (for Non-textual outputs)

  • drug target
  • metabolic control analysis
  • flux control coefficient
  • intermediary metabolism
  • pathway modeling


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