Timo Niedermeyer

Timo Niedermeyer is a Professor in the Department of Pharmacy at the Institute of Pharmaceutical Biology, Freie Universität Berlin. He leads a research group focused on the discovery and characterization of bioactive natural products from microorganisms, particularly cyanobacteria and fungi. His work bridges pharmaceutical biology, natural product chemistry, and toxicology.

Research Interests:

• Natural products from cyanobacteria and fungi
• Discovery of novel bioactive and toxic metabolites
• Mass spectrometry and metabolomics
• Genome mining and biosynthesis
• Chemical ecology and environmental toxicology
• Drug discovery and development of analytical methods

The recent publications reveal a strong emphasis on the 'eagle killer' cyanobacterium Aetokthonos hydrillicola and its neurotoxin aetokthonotoxin, as well as microcystins and other cytotoxic compounds. His research integrates chemical analysis, biological activity testing, and synthetic chemistry, with applications in environmental monitoring and pharmaceutical development. Collaborative work on MIBiG 4.0 highlights his role in advancing bioinformatics for natural product research.

Scientific Awards and Recognition:

• Multiple cover stories in high-impact journals (J. Nat. Prod., PNAS, Science, Chem. Eur. J.)
• Active contributor to major databases and methodological advances

Advising and Grants: With 23 publications as senior/corresponding author and multiple patents, Prof. Niedermeyer leads a productive research group likely supported by external funding. He has mentored numerous researchers, as seen in co-authored publications and patent filings. His work on antibody-drug conjugates suggests translational research and potential industry collaboration.

Labs and Teams: He leads a research team at Freie Universität Berlin focused on pharmaceutical biology and natural products. He collaborates widely with national and international researchers in microbiology, chemistry, and bioinformatics, as evidenced by co-authorships on studies involving mass spectrometry, genome mining, and fungal metabolites.