Jennifer S. Mathieson

University of Glasgow

Papers

1

Total Citations

26

H-Index

1

About

Jennifer S. Mathieson is pioneering the frontier where robotics meets bioinorganic chemistry. Her research centers on automated peptide synthesis and the design of hybrid organic–inorganic biomolecules. In her landmark 2022 work, "Robotic synthesis of peptides containing metal-oxide-based amino acids," Mathieson introduced a transformative synthetic strategy that incorporates non-coded amino acids bearing metal oxide groups directly into peptide sequences. This breakthrough allows precise control over redox activity, charge density, and structural properties—capabilities unattainable with natural side chains alone. By leveraging robotic platforms, her approach not only accelerates the discovery of novel peptide-based materials but also opens new avenues for creating functional biomolecules with tailored electronic and catalytic properties. With 26 citations already, this work is rapidly gaining traction among researchers in supramolecular chemistry, materials science, and synthetic biology. Mathieson’s contributions are reshaping how we think about peptide design, merging the programmability of automation with the versatility of inorganic chemistry. For students and researchers exploring the next generation of smart biomaterials, her work represents a compelling blueprint for innovation at the intersection of robotics and molecular engineering.

Research Focus

Key Achievements

1
H-Index
1
Papers
26
Total Citations
26
Avg Citations/Paper
🏆 Most Cited Paper
Robotic synthesis of peptides containing metal-oxide-based amino acids
26 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: University of Glasgow

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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