Predicting Microbiome Metabolism and Interactions through Integrating Multidisciplinary Principles

  • Schmidt C
  • Ghadermazi P
  • Chan S
2Citations
Citations of this article
18Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

In this Commentary, we will discuss some of the current trends and challenges in modeling microbiome metabolism. A focus will be the state of the art in the integration of metabolic networks, ecological and evolutionary principles, and spatiotemporal considerations, followed by envisioning integrated frameworks incorporating different principles and data to generate predictive models in the future.In this Commentary, we will discuss some of the current trends and challenges in modeling microbiome metabolism. A focus will be the state of the art in the integration of metabolic networks, ecological and evolutionary principles, and spatiotemporal considerations, followed by envisioning integrated frameworks incorporating different principles and data to generate predictive models in the future.

Cite

CITATION STYLE

APA

Schmidt, C. M., Ghadermazi, P., & Chan, S. H. J. (2021). Predicting Microbiome Metabolism and Interactions through Integrating Multidisciplinary Principles. MSystems, 6(5). https://doi.org/10.1128/msystems.00768-21

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free