Computational Biology and Machine Learning Approaches to Understand Mechanistic Microbiome-Host Interactions.

ABSTRACT: The microbiome, by virtue of its interactions with the host, is implicated in various host functions including its influence on nutrition and homeostasis. Many chronic diseases such as diabetes, cancer, inflammatory bowel diseases are characterized by a disruption of microbial communities in at least one biological niche/organ system. Various molecular mechanisms between microbial and host components such as proteins, RNAs, metabolites have recently been identified, thus filling many gaps in our understanding of how the microbiome modulates host processes. Concurrently, high-throughput technologies have enabled the profiling of heterogeneous datasets capturing community level changes in the microbiome as well as the host responses. However, due to limitations in parallel sampling and analy

SUBMITTER: Sudhakar P 

PROVIDER: S-EPMC8148342 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature