The computational metabolomics field brings together computer scientists, bioinformaticians,
chemists, clinicians, and biologists to maximize the impact of metabolomics across a wide …

Covering: up to March 2023Machine learning (ML) has emerged as a popular tool for
analyzing the structures of natural products (NPs). This review presents a summary of the …

Post-infectious conditions present major health burdens but remain poorly understood. In
Chagas disease (CD), caused by Trypanosoma cruzi parasites, antiparasitic agents that …

Metabolomics-driven discoveries of biological samples remain hampered by the grand
challenge of metabolite annotation and identification. Only few metabolites have an …

Ribosomally synthesized and post-translationally modified peptides (RiPPs) are a
chemically diverse class of metabolites. Many RiPPs show potent biological activities that …

During the last decade, forensic toxicologists have evidenced an exponential increase in the
number of new psychoactive substances (NPS) that are available on the drug market …

Chagas disease (CD), caused by Trypanosoma cruzi (T. cruzi) protozoa, is a complicated
parasitic illness with inadequate medical measures for diagnosing infection and monitoring …

Single-atom catalysts (SACs) represent the ultimate size limit of nanoscale catalysts,
combining the advantages of homogeneous and heterogeneous catalysts. SACs have …

Feature-based molecular networking (FBMN) is a popular analysis approach for liquid
chromatography–tandem mass spectrometry-based non-targeted metabolomics data. While …

The human microbiome and its metabolic output play an important role in shaping human
health and disease. The host-microbe crosstalk is often characterised using metabolomics …