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Drug Target Prediction Using Context-Specific Metabolic Models Reconstructed from rFASTCORMICS.
Bintener, Tamara; Pires Pacheco, Maria Irene; Kishk, Ali et al.
2022In Methods in Molecular Biology
Peer reviewed
 

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Keywords :
Antineoplastic Agents/therapeutic use; Computational Biology; Drug Repositioning; Humans; Neoplasms/drug therapy; Workflow; Cancer; Drug prediction; Drug repurposing; Metabolic Modelling
Abstract :
[en] 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.
Disciplines :
Life sciences: Multidisciplinary, general & others
Author, co-author :
Bintener, Tamara
Pires Pacheco, Maria Irene ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Life Sciences and Medicine (DLSM)
Kishk, Ali ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Life Sciences and Medicine (DLSM)
Didier, Jeff ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Life Sciences and Medicine (DLSM)
Sauter, Thomas ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Life Sciences and Medicine (DLSM)
External co-authors :
no
Language :
English
Title :
Drug Target Prediction Using Context-Specific Metabolic Models Reconstructed from rFASTCORMICS.
Publication date :
2022
Main work title :
Methods in Molecular Biology
Publisher :
Springer, Clifton, N.J., United States
Pages :
221-240
Peer reviewed :
Peer reviewed
Focus Area :
Systems Biomedicine
Commentary :
© 2022. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.
Available on ORBilu :
since 03 October 2022

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