A5106368019- Genomics and Phylogenetic Studies
- Microbial Natural Products and Biosynthesis
- Microbial Community Ecology and Physiology
- Machine Learning in Bioinformatics
- Computational Drug Discovery Methods
- Metabolomics and Mass Spectrometry Studies
Universidade de São Paulo
2024-2025
Introduction Exploiting microbial natural products is a key pursuit of the bioactive compound discovery field. Recent advances in modern analytical techniques have increased volume genomes and their encoded biosynthetic measured by mass spectrometry-based metabolomics. However, connecting multi-omics data to uncover metabolic processes interest still challenging. This results large portion genes metabolites remaining unannotated. Further exacerbating annotation challenge, databases tools for...
Untargeted metabolomics is often used in studies that aim to trace the metabolic profile a broad context, with data-dependent acquisition (DDA) mode being most commonly method. However, this approach has limitation not all detected ions are fragmented data process, addition lack of specificity regarding process fragmentation biological signals. The present work aims extend detection signals and contribute overcoming limits DDA dynamic procedure combines experimental silico approaches.
Abstract Exploiting microbial natural products is a key pursuit of the bioactive compound discovery field. Recent advances in modern analytical techniques have increased volume genomes and their encoded biosynthetic measured by mass spectrometry-based metabolomics. However, connecting multi-omics data to uncover metabolic processes interest still challenging. This results large portion genes metabolites remaining unannotated. Further exacerbating annotation challenge, databases tools for...