Ultra-high-performance liquid chromatography high-resolution mass spectrometry variants for metabolomics research
Ultra-high-performance liquid chromatography high-resolution mass spectrometry (UHPLC–
HRMS) variants currently represent the best tools to tackle the challenges of complexity and …
HRMS) variants currently represent the best tools to tackle the challenges of complexity and …
Ecological modelling approaches for predicting emergent properties in microbial communities
Recent studies have brought forward the critical role of emergent properties in sha**
microbial communities and the ecosystems of which they are a part. Emergent properties …
microbial communities and the ecosystems of which they are a part. Emergent properties …
Reconstructing organisms in silico: genome-scale models and their emerging applications
Escherichia coli is considered to be the best-known microorganism given the large number
of published studies detailing its genes, its genome and the biochemical functions of its …
of published studies detailing its genes, its genome and the biochemical functions of its …
Metabolic engineering of Escherichia coli for natural product biosynthesis
Natural products are widely employed in our daily lives as food additives, pharmaceuticals,
nutraceuticals, and cosmetic ingredients, among others. However, their supply has often …
nutraceuticals, and cosmetic ingredients, among others. However, their supply has often …
Designing microbial cell factories for the production of chemicals
The sustainable production of chemicals from renewable, nonedible biomass has emerged
as an essential alternative to address pressing environmental issues arising from our heavy …
as an essential alternative to address pressing environmental issues arising from our heavy …
Artificial intelligence and machine learning disciplines with the potential to improve the nanotoxicology and nanomedicine fields: a comprehensive review
The use of nanomaterials in medicine depends largely on nanotoxicological evaluation in
order to ensure safe application on living organisms. Artificial intelligence (AI) and machine …
order to ensure safe application on living organisms. Artificial intelligence (AI) and machine …
A metabolic modeling platform for the computation of microbial ecosystems in time and space (COMETS)
Genome-scale stoichiometric modeling of metabolism has become a standard systems
biology tool for modeling cellular physiology and growth. Extensions of this approach are …
biology tool for modeling cellular physiology and growth. Extensions of this approach are …
Orally administered Odoribacter laneus improves glucose control and inflammatory profile in obese mice by depleting circulating succinate
Background Succinate is produced by both human cells and by gut bacteria and couples
metabolism to inflammation as an extracellular signaling transducer. Circulating succinate is …
metabolism to inflammation as an extracellular signaling transducer. Circulating succinate is …
METABOLIC: high-throughput profiling of microbial genomes for functional traits, metabolism, biogeochemistry, and community-scale functional networks
Background Advances in microbiome science are being driven in large part due to our
ability to study and infer microbial ecology from genomes reconstructed from mixed …
ability to study and infer microbial ecology from genomes reconstructed from mixed …
Machine learning in bioprocess development: from promise to practice
Fostered by novel analytical techniques, digitalization, and automation, modern bioprocess
development provides large amounts of heterogeneous experimental data, containing …
development provides large amounts of heterogeneous experimental data, containing …