MAGic-MOLFUN

MAtching Genes with MOLecules for FUNctional Analysis

01.01.2023 bis 31.12.2026

The MAGIC-MOLFUN doctorial network (DN) will train the next generation of specialists for transforming natural products research.
They will be educated in a combination of wet-lab and computational skills to integrate genome mining and metabolomics with
cutting-edge pathway discovery- and engineering approaches. There is a fast-growing demand for these combination of skills, but
these are rarely taught in current integrated training programs.
These multidisciplinary skills and qualifications will be acquired while achieving the scientific goals of the program, namely
understanding and developing the complex biosynthesis and production of microbial NPs for cross-sector applications such as
medicine, food, agriculture, or biotechnology. Specifically, the Doctoral Candidates (DCs) will work in three areas: (i) develop novel
computational tools and algorithms to improve the identification and prediction quality of biosynthetic gene clusters encoding NP
biosynthesis in genomic data. This genome-centred approach is complemented by (ii) the use cheminformatics approaches to link
metabolomics data of NPs with the genomic data of the producers, which will greatly improve the compound discovery and
dereplication process. These two data-centric approaches will finally (iii) converge into experimental applications that discover and
characterize novel NPs with promising bioactivities (e.g., antibiotics, pre-/probiotics, agrichemicals, bio-pigments).
The scientific training program is complemented by a comprehensive transferable skill training that will equip the DCs for todays’
demands of a successful career in industry and academia. The skills obtained in the DN will enable the DCs to work not only in natural
product research but also many other data-intensive areas of biotechnology.