We have come a long way in the last years of develo** analytical strategies in
metabolomics. We have seen huge progress in tackling multiplatform measurement, data …

Covering: up to 2022 With the emergence of large amounts of omics data, computational
approaches for the identification of plant natural product biosynthetic pathways and their …

Molecular networking has become a key method to visualize and annotate the chemical
space in non-targeted mass spectrometry data. We present feature-based molecular …

Computational approaches such as genome and metabolome mining are becoming
essential to natural products (NPs) research. Consequently, a need exists for an automated …

The confident high-throughput identification of small molecules is one of the most
challenging tasks in mass spectrometry-based metabolomics. Annotating the molecular …

Deep learning (DL), an emerging area of investigation in the fields of machine learning and
artificial intelligence, has markedly advanced over the past years. DL techniques are being …

Anaerobic fungi (class Neocallimastigomycetes) thrive as low-abundance members of the
herbivore digestive tract. The genomes of anaerobic gut fungi are poorly characterized and …

The gut microbiota plays a central role in human health by enzymatically degrading dietary
fiber and concomitantly excreting short chain fatty acids that are associated with manifold …

Trees usually face simultaneous stresses and have evolved to deal with them naturally.
However, as a consequence of climate change, heat waves and drought stress have …

As contemporary bioinformatic and chemoinformatic capabilities are resha** natural
products research, major benefits could result from an open database of referenced …