Deep learning approaches for natural product discovery from plant endophytic microbiomes.

ABSTRACT: Plant microbiomes are not only diverse, but also appear to host a vast pool of secondary metabolites holding great promise for bioactive natural products and drug discovery. Yet, most microbes within plants appear to be uncultivable, and for those that can be cultivated, their metabolic potential lies largely hidden through regulatory silencing of biosynthetic genes. The recent explosion of powerful interdisciplinary approaches, including multi-omics methods to address multi-trophic interactions and artificial intelligence-based computational approaches to infer distribution of function, together present a paradigm shift in high-throughput approaches to natural product discovery from plant-associated microbes. Arguably, the key to characterizing and harnessing this biochemical capacity dep

SUBMITTER: Aghdam SA 

PROVIDER: S-EPMC7972023 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature