Munich, Germany

Matthias Mann


Average Co-Inventor Count = 1.0


Years Active: 2025

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Matthias Mann - Innovator in Quantitative Proteomics

Introduction

Matthias Mann is a prominent inventor based in Munich, Germany. He has made significant contributions to the field of quantitative proteomics, particularly through his innovative patent. His work focuses on developing methods that enhance the analysis of proteins, which are crucial for understanding various biological processes.

Latest Patents

One of Matthias Mann's notable patents is titled "Low energy cleavable mass tag for quantitative proteomics." This invention relates to a compound that includes a reactive moiety capable of forming a covalent bond with a peptide's functional group. The compound also features a moiety that fragments in a mass spectrometer at low energy, allowing for more efficient analysis of peptides. This innovative approach not only improves the accuracy of quantitative proteomics but also enhances the overall efficiency of protein analysis.

Career Highlights

Throughout his career, Matthias Mann has established himself as a leader in the field of proteomics. His research has been instrumental in advancing the understanding of protein functions and interactions. He has been recognized for his contributions to scientific literature and has played a vital role in shaping modern proteomic techniques.

Collaborations

Matthias Mann has collaborated with several notable researchers, including Felix Meissner and Florian Meier. These collaborations have further enriched his work and have led to advancements in the methodologies used in proteomics.

Conclusion

In summary, Matthias Mann is a key figure in the field of quantitative proteomics, with a focus on innovative methods that enhance protein analysis. His contributions, particularly through his patent, have significantly impacted the scientific community and continue to influence research in this vital area.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…