© 2022 EPFL / Subham Choudhury - Metabolism is essential to all living organisms, and modeling the chemical reactions that sustain life is no easy task. Now, scientists have released REKINDLE, paving the way for more efficient and accurate modeling of metabolic processes thanks to deep-learning. The way an organism metabolizes nutrients is a complex process. In the literature, the process can be modeled by a set of mathematical equations with parameters specific to each organism. The parameters one would measure for a human would be different from those of a mouse, bacteria, yeast, or any living organism of study. If we had access to these parameters for a given living organism, then its corresponding model would be complete, it would match real-world observation, and in silico studies would be possible for better design of in vitro and in vivo studies. On a practical level, however, determining those parameters is a complicated matter, due to the lack of experimental data.
TO READ THIS ARTICLE, CREATE YOUR ACCOUNT
And extend your reading, free of charge and with no commitment.
Your Benefits
- Access to all content
- Receive newsmails for news and jobs
- Post ads
