Michael C. Thompson

University of California, San Francisco

Papers

1

Total Citations

10

H-Index

1

About

Michael C. Thompson is a leading figure in computational protein design, a field at the intersection of structural biology, biophysics, and robotics. His research focuses on developing innovative algorithms to engineer proteins with precise, atom-level functional geometries—a critical challenge for creating new enzymes, therapeutics, and biomaterials. Thompson’s most notable contribution is his pioneering work on "Accurate positioning of functional residues with robotics-inspired computational protein design" (2022, 10 citations), which adapts principles from robotics to solve the long-standing problem of designing irregular, high-accuracy active sites. This approach has opened new avenues for creating proteins with tailored catalytic and binding functions. Though his citation counts are still growing, the significance of his work is underscored by its potential to transform medicine and biotechnology, enabling the rational design of everything from novel drug delivery systems to sustainable industrial catalysts. Thompson’s achievements mark him as an emerging leader in the field, with his robotics-inspired methodology poised to become a standard tool for protein engineers worldwide.

Research Focus

Key Achievements

1
H-Index
1
Papers
10
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Accurate positioning of functional residues with robotics-inspired computational protein design
10 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: University of California, San Francisco

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago