Emerging tools and best practices for studying gut microbial community metabolism

C Noecker, PJ Turnbaugh - Nature Metabolism, 2024 - nature.com
The human gut microbiome vastly extends the set of metabolic reactions catalysed by our
own cells, with far-reaching consequences for host health and disease. However, our …

Metabolic interaction models recapitulate leaf microbiota ecology

M Schäfer, AR Pacheco, R Künzler, M Bortfeld-Miller… - Science, 2023 - science.org
Resource allocation affects the structure of microbiomes, including those associated with
living hosts. Understanding the degree to which this dependency determines interspecies …

Metabolic Flux Modeling in Marine Ecosystems

H Scott, D Segrè - Annual Review of Marine Science, 2024 - annualreviews.org
Ocean metabolism constitutes a complex, multiscale ensemble of biochemical reaction
networks harbored within and between the boundaries of a myriad of organisms. Gaining a …

Integration of graph neural networks and genome-scale metabolic models for predicting gene essentiality

R Hasibi, T Michoel, DA Oyarzún - npj Systems Biology and …, 2024 - nature.com
Genome-scale metabolic models are powerful tools for understanding cellular physiology.
Flux balance analysis (FBA), in particular, is an optimization-based approach widely …

Transporter annotations are holding up progress in metabolic modeling

J Casey, B Bennion, P D'haeseleer… - Frontiers in Systems …, 2024 - frontiersin.org
Mechanistic, constraint-based models of microbial isolates or communities are a staple in
the metabolic analysis toolbox, but predictions about microbe-microbe and microbe …

Metabolic models predict fotemustine and the combination of eflornithine/rifamycin and adapalene/cannabidiol for the treatment of gliomas

A Kishk, M Pires Pacheco, T Heurtaux… - Briefings in …, 2024 - academic.oup.com
Gliomas are the most common type of malignant brain tumors, with glioblastoma multiforme
(GBM) having a median survival of 15 months due to drug resistance and relapse. The …

[HTML][HTML] Accurate prediction of in vivo protein abundances by coupling constraint-based modelling and machine learning

MA de Moura Ferreira, P Wendering, M Arend… - Metabolic …, 2023 - Elsevier
Quantification of how different environmental cues affect protein allocation can provide
important insights for understanding cell physiology. While absolute quantification of …

Boolean matrix logic programming for active learning of gene functions in genome-scale metabolic network models

L Ai, SH Muggleton, SS Liang, GS Baldwin - arXiv preprint arXiv …, 2024 - arxiv.org
Techniques to autonomously drive research have been prominent in Computational
Scientific Discovery, while Synthetic Biology is a field of science that focuses on designing …

A compact model of Escherichia coli core and biosynthetic metabolism

M Corrao, H He, W Liebermeister, E Noor… - arXiv preprint arXiv …, 2024 - arxiv.org
Metabolic models condense biochemical knowledge about organisms in a structured and
standardised way. As large-scale network reconstructions are readily available for many …

Boolean Matrix Logic Programming

L Ai, SH Muggleton - arXiv preprint arXiv:2408.10369, 2024 - arxiv.org
We describe a datalog query evaluation approach based on efficient and composable
boolean matrix manipulation modules. We first define an overarching problem, Boolean …