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Front Cover: Mining for Microbial Gems: Integrating Proteomics in the Postgenomic Natural Product Discovery Pipeline
Author(s) -
Du Chao,
Wezel Gilles P.
Publication year - 2018
Publication title -
proteomics
Language(s) - English
Resource type - Reports
SCImago Journal Rank - 1.26
H-Index - 167
eISSN - 1615-9861
pISSN - 1615-9853
DOI - 10.1002/pmic.201870161
Subject(s) - proteomics , genomics , computational biology , drug discovery , natural product , workflow , metagenomics , biology , genome , front cover , metabolomics , encode , data science , bioinformatics , computer science , cover (algebra) , gene , genetics , engineering , mechanical engineering , biochemistry , database
DOI: 10.1002/pmic.201700332 In the post‐genomic era of drug discovery, combined multi‐omics methods are widely applied in order to boost the discovery of novel natural products and the biosynthetic gene clusters that encode them. The basis is formed by collections of actinobacteria and other microorganisms. Advanced metabolomics‐based screening combined with genome mining allows for narrowing down the number of candidate producer strains. Multi‐omics methods, including genomics, proteomics and integrated data analysis, complete the modern discovery workflow. Further details are found in article number 1700332 by Chao Du and Gilles P. van Wezel.