Ultra-high-performance liquid chromatography high-resolution mass spectrometry variants for metabolomics research

L Perez de Souza, S Alseekh, F Scossa, AR Fernie - Nature Methods, 2021 - nature.com
Ultra-high-performance liquid chromatography high-resolution mass spectrometry (UHPLC–
HRMS) variants currently represent the best tools to tackle the challenges of complexity and …

Ecological modelling approaches for predicting emergent properties in microbial communities

NI van den Berg, D Machado, S Santos… - Nature ecology & …, 2022 - nature.com
Recent studies have brought forward the critical role of emergent properties in shaping
microbial communities and the ecosystems of which they are a part. Emergent properties …

Reconstructing organisms in silico: genome-scale models and their emerging applications

X Fang, CJ Lloyd, BO Palsson - Nature Reviews Microbiology, 2020 - nature.com
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 …

Designing microbial cell factories for the production of chemicals

JS Cho, GB Kim, H Eun, CW Moon, SY Lee - Jacs Au, 2022 - ACS Publications
The sustainable production of chemicals from renewable, nonedible biomass has emerged
as an essential alternative to address pressing environmental issues arising from our heavy …

Orally administered Odoribacter laneus improves glucose control and inflammatory profile in obese mice by depleting circulating succinate

I Huber-Ruano, E Calvo, J Mayneris-Perxachs… - Microbiome, 2022 - Springer
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 …

Metabolic engineering of Escherichia coli for natural product biosynthesis

D Yang, SY Park, YS Park, H Eun, SY Lee - Trends in Biotechnology, 2020 - cell.com
Natural products are widely employed in our daily lives as food additives, pharmaceuticals,
nutraceuticals, and cosmetic ingredients, among others. However, their supply has often …

A metabolic modeling platform for the computation of microbial ecosystems in time and space (COMETS)

I Dukovski, D Bajić, JM Chacón, M Quintin, JCC Vila… - Nature protocols, 2021 - nature.com
Genome-scale stoichiometric modeling of metabolism has become a standard systems
biology tool for modeling cellular physiology and growth. Extensions of this approach are …

Artificial intelligence and machine learning disciplines with the potential to improve the nanotoxicology and nanomedicine fields: a comprehensive review

AV Singh, M Varma, P Laux, S Choudhary… - Archives of …, 2023 - Springer
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 …

METABOLIC: high-throughput profiling of microbial genomes for functional traits, metabolism, biogeochemistry, and community-scale functional networks

Z Zhou, PQ Tran, AM Breister, Y Liu, K Kieft, ES Cowley… - Microbiome, 2022 - Springer
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 …

Machine learning in bioprocess development: from promise to practice

LM Helleckes, J Hemmerich, W Wiechert… - Trends in …, 2023 - cell.com
Fostered by novel analytical techniques, digitalization, and automation, modern bioprocess
development provides large amounts of heterogeneous experimental data, containing …