Dataset Information

Radical Breakthroughs in Natural Product and Cofactor Biosynthesis.

ABSTRACT: The radical SAM (S-adenosyl-l-methionine) superfamily is one of the largest group of enzymes with >113000 annotated sequences [Landgraf, B. J., et al. (2016) Annu. Rev. Biochem. 85, 485-514]. Members of this superfamily catalyze the reductive cleavage of SAM using an oxygen sensitive 4Fe-4S cluster to transiently generate 5'-deoxyadenosyl radical that is subsequently used to initiate diverse free radical-mediated reactions. Because of the unique reactivity of free radicals, radical SAM enzymes frequently catalyze chemically challenging reactions critical for the biosynthesis of unique structures of cofactors and natural products. In this Perspective, I will discuss the impact of characterizing novel functions in radical SAM enzymes on our understanding of biosynthetic pathways and use two recent examples from my own group with a particular emphasis on two radical SAM enzymes that are responsible for carbon skeleton formation during the biosynthesis of a cofactor and natural products.

SUBMITTER: Yokoyama K

PROVIDER: S-EPMC5790616 | biostudies-literature | 2018 Jan

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Radical Breakthroughs in Natural Product and Cofactor Biosynthesis.

Yokoyama Kenichi K

Biochemistry 20171109 4

The radical SAM (S-adenosyl-l-methionine) superfamily is one of the largest group of enzymes with >113000 annotated sequences [Landgraf, B. J., et al. (2016) Annu. Rev. Biochem. 85, 485-514]. Members of this superfamily catalyze the reductive cleavage of SAM using an oxygen sensitive 4Fe-4S cluster to transiently generate 5'-deoxyadenosyl radical that is subsequently used to initiate diverse free radical-mediated reactions. Because of the unique reactivity of free radicals, radical SAM enzymes f ...[more]

PMID: 29072833

Similar Datasets

Project description:Natural products are molecules that fulfil a range of important ecological functions. Many natural products have been exploited for pharmaceutical and agricultural applications. In contrast to many other specialised metabolites, the products of modular nonribosomal peptide synthetase (NRPS) and polyketide synthase (PKS) systems can often (partially) be predicted from the DNA sequence of the biosynthetic gene clusters. This is because the biosynthetic pathways of NRPS and PKS systems adhere to consistent rulesets. These universal biosynthetic rules can be leveraged to generate biosynthetic models of biosynthetic pathways. While these principles have been largely deciphered, software that leverages these rules to automatically generate visualisations of biosynthetic models has not yet been developed. To enable high-quality automated visualisations of natural product biosynthetic pathways, we developed RAIChU (Reaction Analysis through Illustrating Chemical Units), which produces depictions of biosynthetic transformations of PKS, NRPS, and hybrid PKS/NRPS systems from predicted or experimentally verified module architectures and domain substrate specificities. RAIChU also boasts a library of functions to perform and visualise reactions and pathways whose specifics (e.g., regioselectivity, stereoselectivity) are still difficult to predict, including terpenes, ribosomally synthesised and posttranslationally modified peptides and alkaloids. Additionally, RAIChU includes 34 prevalent tailoring reactions to enable the visualisation of biosynthetic pathways of fully maturated natural products. RAIChU can be integrated into Python pipelines, allowing users to upload and edit results from antiSMASH, a widely used BGC detection and annotation tool, or to build biosynthetic PKS/NRPS systems from scratch. RAIChU's cluster drawing correctness (100%) and drawing readability (97.66%) were validated on 5000 randomly generated PKS/NRPS systems, and on the MIBiG database. The automated visualisation of these pathways accelerates the generation of biosynthetic models, facilitates the analysis of large (meta-) genomic datasets and reduces human error. RAIChU is available at https://github.com/BTheDragonMaster/RAIChU and https://pypi.org/project/raichu .Scientific contributionRAIChU is the first software package capable of automating high-quality visualisations of natural product biosynthetic pathways. By leveraging universal biosynthetic rules, RAIChU enables the depiction of complex biosynthetic transformations for PKS, NRPS, ribosomally synthesised and posttranslationally modified peptide (RiPP), terpene and alkaloid systems, enhancing predictive and analytical capabilities. This innovation not only streamlines the creation of biosynthetic models, making the analysis of large genomic datasets more efficient and accurate, but also bridges a crucial gap in predicting and visualising the complexities of natural product biosynthesis.

Dataset Information

Radical Breakthroughs in Natural Product and Cofactor Biosynthesis.

Publications

Radical Breakthroughs in Natural Product and Cofactor Biosynthesis.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets