Improving genome-scale metabolic models of incomplete genomes with deep learning

Improving genome-scale metabolic models of incomplete genomes with deep learning

Summary: Deciphering microbial metabolism is essential for understanding ecosystem functions. Genome-scale metabolic models (GSMMs) predict metabolic traits from genomic data, but constructing GSMMs for uncultured bacteria is challenging due to incomplete metagenome-assembled genomes, resulting in m...

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Bibliographic Details
Main Authors: Meine D. Boer, Chrats Melkonian, Haris Zafeiropoulos, Andreas F. Haas, Daniel R. Garza, Bas E. Dutilh
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:iScience
Subjects:
Microbial genomics
Biocomputational method
Computational Bioinformatics
Genomic analysis
Online Access:http://www.sciencedirect.com/science/article/pii/S2589004224025744
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