Analysis of human metabolism by reducing the complexity of the genome-scale models using redHUMAN

The complexity of genome-scale metabolic networks (GEMs) hinders their application in specific physiological contexts. Here, the authors introduce a framework to reduce thermodynamically curated GEMs to the subnetworks of interest and demonstrate its application by deriving leukemia-specific models.

গ্রন্থ-পঞ্জীর বিবরন
প্রধান লেখক: Maria Masid, Meric Ataman, Vassily Hatzimanikatis
বিন্যাস: প্রবন্ধ
ভাষা:English
প্রকাশিত: Nature Portfolio 2020-06-01
মালা:Nature Communications
অনলাইন ব্যবহার করুন:https://doi.org/10.1038/s41467-020-16549-2