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Drug Target Prediction Using Context-Specific Metabolic Models Reconstructed from rFASTCORMICS

  • Tamara Bintener
  • , Maria Pires Pacheco
  • , Ali Kishk
  • , Jeff Didier
  • , Thomas Sauter*
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

4 Scopus citations

Abstract

Metabolic modeling is a powerful computational tool to analyze metabolism. It has not only been used to identify metabolic rewiring strategies in cancer but also to predict drug targets and candidate drugs for repurposing. Here, we will elaborate on the reconstruction of context-specific metabolic models of cancer using rFASTCORMICS and the subsequent prediction of drugs for repurposing using our drug prediction workflow.

Original languageEnglish
Title of host publicationMethods in Molecular Biology
PublisherHumana Press Inc.
Pages221-240
Number of pages20
DOIs
StatePublished - 2022

Publication series

NameMethods in Molecular Biology
Volume2535
ISSN (Print)1064-3745
ISSN (Electronic)1940-6029

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Cancer
  • Drug prediction
  • Drug repurposing
  • Metabolic Modelling

ASJC Scopus subject areas

  • Molecular Biology
  • Genetics

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