<p>An integrative computational modeling approach to identify repurposable metabolic drug targets in CD4+ T cells </p>

Bhanwar Lal Puniya; Bailee Lichter; Robert Moore; Sydney  Townsend; Alex  Ciurej; Ab Rauf Shah; Matteo Barberis; Tomáš Helikar

doi:10.7490/f1000research.1116861.1

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Puniya BL, Lichter B, Moore R et al. An integrative computational modeling approach to identify repurposable metabolic drug targets in CD4+ T cells [version 1; not peer reviewed]. F1000Research 2019, 8(ISCB Comm J):809 (poster) (https://doi.org/10.7490/f1000research.1116861.1)

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An integrative computational modeling approach to identify repurposable metabolic drug targets in CD4+ T cells

Bhanwar Lal Puniya, Bailee Lichter, Robert Moore, Sydney Townsend, Alex Ciurej, Ab Rauf Shah, Matteo Barberis¹, Tomáš Helikar²

Published 07 Jun 2019 (https://doi.org/10.7490/f1000research.1116861.1)

Author Affiliations

¹ University of Surrey, UK
² University of Nebraska-Lincoln, USA

Copyright © 2019 Puniya BL et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Published 07 Jun 2019

An integrative computational modeling approach to identify repurposable metabolic drug targets in CD4+ T cells
[version 1; not peer reviewed]

Bhanwar Lal Puniya, Bailee Lichter, Robert Moore, Sydney Townsend, Alex Ciurej, Ab Rauf Shah, Matteo Barberis¹, Tomáš Helikar²

Author Affiliations

¹ University of Surrey, UK
² University of Nebraska-Lincoln, USA

Presented at

Great Lakes Bioinformatics Conference (GLBIO) 2019

Abstract

Competing Interests

No competing interests were disclosed

Keywords

CD4+ T cells, metabolic modeling, drug target repurposing, autoimmune diseases

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