A gap-filling algorithm for prediction of metabolic interactions in microbial communities.

ABSTRACT: The study of microbial communities and their interactions has attracted the interest of the scientific community, because of their potential for applications in biotechnology, ecology and medicine. The complexity of interspecies interactions, which are key for the macroscopic behavior of microbial communities, cannot be studied easily experimentally. For this reason, the modeling of microbial communities has begun to leverage the knowledge of established constraint-based methods, which have long been used for studying and analyzing the microbial metabolism of individual species based on genome-scale metabolic reconstructions of microorganisms. A main problem of genome-scale metabolic reconstructions is that they usually contain metabolic gaps due to genome misannotations and unknown enzyme

SUBMITTER: Giannari D 

PROVIDER: S-EPMC8584699 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature