Mimicking/extracting structure and functions of natural products: synthetic approaches that address unexplored needs in chemical biology

Applications of genome editing by programmable nucleases to the metabolic engineering of secondary metabolites

Genome engineering is a branch of modern biotechnology composed of a cohort of protocols designed to construct and modify a genotype with the main objective of giving rise to a desired phenotype. Conceptually, genome engineering is based on the so called genome editing technologies, a group of genetic techniques that allow either to delete or to insert genetic information in a particular genomic locus. Ten years ago, genome editing tools were limited to virus-driven integration and homologous DNA recombination. However, nowadays the uprising of programmable nucleases is rapidly changing this paradigm. There are two main families of modern tools for genome editing depending on the molecule that controls the specificity of the system and drives the editor machinery to its place of action. Enzymes such as Zn-finger and TALEN nucleases are protein-driven genome editors; while CRISPR system is a nucleic acid-guided editing system. Genome editing techniques are still not widely applied for the design of new compounds with pharmacological activity, but they are starting to be considered as promising tools for rational genome manipulation in biotechnology applications. In this review we will discuss the potential applications of programmable nucleases for the metabolic engineering of secondary metabolites with biological activity.

Counting on natural products for drug design

Natural products and their molecular frameworks have a long tradition as valuable starting points for medicinal chemistry and drug discovery. Recently, there has been a revitalization of interest in the inclusion of these chemotypes in compound collections for screening and achieving selective target modulation. Here we discuss natural-product-inspired drug discovery with a focus on recent advances in the design of synthetically tractable small molecules that mimic nature's chemistry. We highlight the potential of innovative computational tools in processing structurally complex natural products to predict their macromolecular targets and attempt to forecast the role that natural-product-derived fragments and fragment-like natural products will play in next-generation drug discovery.