Author
Listed:
- Prashant K. Srivastava
(Imperial College London)
- Jonathan van Eyll
(UCB Pharma)
- Patrice Godard
(Clarivate Analytics (formerly the IP & Science Business of Thomson Reuters))
- Manuela Mazzuferi
(UCB Pharma)
- Andree Delahaye-Duriez
(Imperial College London
Université Paris 13
Université Paris Diderot)
- Juliette Van Steenwinckel
(Université Paris Diderot)
- Pierre Gressens
(Université Paris Diderot
King’s College London)
- Benedicte Danis
(UCB Pharma)
- Catherine Vandenplas
(UCB Pharma)
- Patrik Foerch
(UCB Pharma)
- Karine Leclercq
(UCB Pharma)
- Georges Mairet-Coello
(UCB Pharma)
- Alvaro Cardenas
(UCB Pharma)
- Frederic Vanclef
(UCB Pharma)
- Liisi Laaniste
(Imperial College London)
- Isabelle Niespodziany
(UCB Pharma)
- James Keaney
(UCB Pharma)
- Julien Gasser
(UCB Pharma)
- Gaelle Gillet
(UCB Pharma)
- Kirill Shkura
(Imperial College London)
- Seon-Ah Chong
(UCB Pharma)
- Jacques Behmoaras
(Imperial College London)
- Irena Kadiu
(UCB Pharma)
- Enrico Petretto
(Centre for Computational Biology
Imperial College London)
- Rafal M. Kaminski
(UCB Pharma)
- Michael R. Johnson
(Imperial College London)
Abstract
The identification of drug targets is highly challenging, particularly for diseases of the brain. To address this problem, we developed and experimentally validated a general computational framework for drug target discovery that combines gene regulatory information with causal reasoning (“Causal Reasoning Analytical Framework for Target discovery”—CRAFT). Using a systems genetics approach and starting from gene expression data from the target tissue, CRAFT provides a predictive framework for identifying cell membrane receptors with a direction-specified influence over disease-related gene expression profiles. As proof of concept, we applied CRAFT to epilepsy and predicted the tyrosine kinase receptor Csf1R as a potential therapeutic target. The predicted effect of Csf1R blockade in attenuating epilepsy seizures was validated in three pre-clinical models of epilepsy. These results highlight CRAFT as a systems-level framework for target discovery and suggest Csf1R blockade as a novel therapeutic strategy in epilepsy. CRAFT is applicable to disease settings other than epilepsy.
Suggested Citation
Prashant K. Srivastava & Jonathan van Eyll & Patrice Godard & Manuela Mazzuferi & Andree Delahaye-Duriez & Juliette Van Steenwinckel & Pierre Gressens & Benedicte Danis & Catherine Vandenplas & Patrik, 2018.
"A systems-level framework for drug discovery identifies Csf1R as an anti-epileptic drug target,"
Nature Communications, Nature, vol. 9(1), pages 1-15, December.
Handle:
RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-06008-4
DOI: 10.1038/s41467-018-06008-4
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