How Is Ai Used In Metabolic Network Reconstruction And Simulation
Metabolic network reconstruction involves compiling information about all the biochemical reactions that occur in an organism to create a comprehensive map of its metabolic pathways. This process typically integrates data from various sources, such as genomic and biochemical databases.
Areas of application
- Drug discovery and development
- Personalized medicine
- Biotechnology
- Agriculture and food production
- Environmental science and sustainability
Example
Artificial intelligence (AI) can be used to help reconstruct and simulate metabolic networks by analyzing large amounts of data and identifying patterns that are difficult for humans to detect. For instance, AI algorithms can be used to integrate data from genomic and biochemical databases to create a comprehensive map of an organism’s metabolic pathways, including the interactions between different reactions and the flow of metabolites between them.