Integrated human-virus metabolic stoichiometric modelling predicts host-based antiviral targets against Chikungunya, Dengue and Zika viruses

Journal of the Royal Society Interface

Volumn 15, Issue 146, 2018, Pages

  Aller, Sean ^a   Scott, Andrew ^b   Sarkar Tyson, Mitali ^b,c   Soyer, Orkun S ^a  

^a UNIVERSITY OF WARWICK   (United Kingdom)

^b DEFENCE SCIENCE AND TECHNOLOGY LABORATORY   (United Kingdom)

^c UNIVERSITY OF WESTERN AUSTRALIA   (Australia)

Author keywords

antiviral targets; emerging viruses; flux balance analysis; host virus interactions; metabolic modelling

Indexed keywords

COMPUTATIONAL METHODS; FORECASTING; GENES; METABOLISM; NUCLEOTIDES; PHYSIOLOGY;

COMPUTATIONAL APPROACH; EMERGING VIRUS; FLUX BALANCE ANALYSIS; GENOME SCALE METABOLIC MODEL; HOST-VIRUS INTERACTIONS; INTEGRATED MODELING; METABOLIC MODELLING; METABOLIC PATHWAYS;

VIRUSES;

ADENOSINE TRIPHOSPHATE; ANTIVIRUS AGENT;

ALGORITHM; BIOMASS; CHIKUNGUNYA; CHIKUNGUNYA VIRUS; DENGUE; DENGUE VIRUS; DRUG EFFECT; HOST PATHOGEN INTERACTION; HUMAN; MACROPHAGE; METABOLISM; PATHOGENICITY; THEORETICAL MODEL; VIROLOGY; VIRUS GENOME; VIRUS REPLICATION; ZIKA FEVER; ZIKA VIRUS;

ADENOSINE TRIPHOSPHATE; ALGORITHMS; ANTIVIRAL AGENTS; BIOMASS; CHIKUNGUNYA FEVER; CHIKUNGUNYA VIRUS; DENGUE; DENGUE VIRUS; GENOME, VIRAL; HOST-PATHOGEN INTERACTIONS; HUMANS; MACROPHAGES; MODELS, THEORETICAL; VIRUS REPLICATION; ZIKA VIRUS; ZIKA VIRUS INFECTION;

EID: 85054482673     PISSN: 17425689     EISSN: 17425662     Source Type: Journal    
DOI: 10.1098/rsif.2018.0125     Document Type: Article

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