Antineoplastic Agents/therapeutic use; Computational Biology; Drug Repositioning; Humans; Neoplasms/drug therapy; Workflow; Cancer; Drug prediction; Drug repurposing; Metabolic Modelling
Résumé :
[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 :
Sciences du vivant: Multidisciplinaire, généralités & autres
Auteur, co-auteur :
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)
Co-auteurs externes :
no
Langue du document :
Anglais
Titre :
Drug Target Prediction Using Context-Specific Metabolic Models Reconstructed from rFASTCORMICS.
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