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 …
own cells, with far-reaching consequences for host health and disease. However, our …
Metabolic interaction models recapitulate leaf microbiota ecology
Resource allocation affects the structure of microbiomes, including those associated with
living hosts. Understanding the degree to which this dependency determines interspecies …
living hosts. Understanding the degree to which this dependency determines interspecies …
Metabolic Flux Modeling in Marine Ecosystems
Ocean metabolism constitutes a complex, multiscale ensemble of biochemical reaction
networks harbored within and between the boundaries of a myriad of organisms. Gaining a …
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
Genome-scale metabolic models are powerful tools for understanding cellular physiology.
Flux balance analysis (FBA), in particular, is an optimization-based approach widely …
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 …
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 …
(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 …
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
Techniques to autonomously drive research have been prominent in Computational
Scientific Discovery, while Synthetic Biology is a field of science that focuses on designing …
Scientific Discovery, while Synthetic Biology is a field of science that focuses on designing …
A compact model of Escherichia coli core and biosynthetic metabolism
Metabolic models condense biochemical knowledge about organisms in a structured and
standardised way. As large-scale network reconstructions are readily available for many …
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 …
boolean matrix manipulation modules. We first define an overarching problem, Boolean …