Developments in computational omics technologies have provided new means to access the hidden diversity of natural products, unearthing new potential for drug discovery. In parallel, artificial... Show moreDevelopments in computational omics technologies have provided new means to access the hidden diversity of natural products, unearthing new potential for drug discovery. In parallel, artificial intelligence approaches such as machine learning have led to exciting developments in the computational drug design field, facilitating biological activity prediction and de novo drug design for molecular targets of interest. Here, we describe current and future synergies between these developments to effectively identify drug candidates from the plethora of molecules produced by nature. We also discuss how to address key challenges in realizing the potential of these synergies, such as the need for high-quality datasets to train deep learning algorithms and appropriate strategies for algorithm validation. Show less
Filamentous Actinobacteria, such as Streptomyces, produce a plethora of chemically diverse bioactive metabolites that have found applications across medicine, agriculture and biotechnology. Yet,... Show moreFilamentous Actinobacteria, such as Streptomyces, produce a plethora of chemically diverse bioactive metabolites that have found applications across medicine, agriculture and biotechnology. Yet, the vast majority of the biosynthetic potential of Actinobacteria remains uncharacterised, largely because their biosynthetic gene clusters (BGCs) are poorly expressed in the laboratory, preventing the discovery of the cognate natural products. Additionally, only a narrow band of environments and a few taxonomic groups have been explored for gifted Actinobacteria. In this thesis different approaches are described, wherein we combined drug discovery with ecology, aimed at accessing the full potential of Actinobacteria. Bioactive Actinobacteria were isolated from a faecal sample of a 28,000-year-old-mammoth and their taxonomic and metabolic diversity was analysed. Furthermore, the effect of human stress hormones on the production of antibiotics by Streptomyces was investigated, resulting in the discovery of adrenaline as elicitor of siderophore production. This was later shown to be caused by the adrenaline analog catechol, which is ubiquitous in nature. Catechol also elicited the production of angucycline glycosides, well known for their therapeutic potential as anticancer and antibiotic compounds. Lastly, zebrafish were used as an in vivo model to explore the bioactive and functional potential of Actinobacteria within the animal microbiome. Show less
Bergeijk, D.A. van; Elsayed, S.S.M.A.; Du, C.; Nuñez Santiago, I.; Roseboom, A.M.; Zhang, L.; ... ; Wezel, G.P. van 2022
