Publication: ACHR.cu: GPU Accelerated Sampling of Metabolic Networks
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Date
2019-05-28
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The Open Journal
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Guebila, Marouen Ben. 2019. ACHR.cu: GPU Accelerated Sampling of Metabolic Networks. Journal of Open Source Software 4, no. 37: 1363.
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Abstract
The in silico modeling of biological organisms consists of the mathematical representation of key functions of a biological system and the study of its behavior in different conditions and environments. It serves as a tool to support wet lab experiments and to generate hypotheses about the functioning of the subsystems. Among the many biological products, metabolism is the most amenable to modeling because it is directly related to key biological functions and processes.