Shayne Middleton
Papers
1
Total Citations
3
H-Index
1
About
Shayne Middleton’s research lies at the intersection of structural biology and data management, with a focus on overcoming the critical bottleneck of macromolecular crystallization. In his most cited work, “Managing and mining protein crystallization data” (2005, 3 citations), Middleton addressed the formidable challenge of handling the vast datasets generated from screening thousands of crystallization conditions. He pioneered systematic approaches to organizing and analyzing experimental results, enabling more efficient optimization of crystallization protocols. This contribution has provided structural biologists with practical frameworks for turning raw screening data into actionable insights, streamlining the path from protein production to three-dimensional structure determination. While his citation count reflects the niche, technical nature of his work, Middleton’s impact is felt deeply in laboratories where high-throughput crystallization is routine. His efforts have helped transform a traditionally manual, error-prone process into a more data-driven discipline, supporting the broader goal of accelerating discoveries in drug design and molecular understanding. Middleton’s work remains a valuable resource for researchers navigating the complexities of protein crystallization data.
Research Focus
Key Achievements
Top Papers
- 1Managing and mining protein crystallization data3 citations · 2005