Kosmas Tetis

Papers

Total Citations

H-Index

About

Kosmas Tetis is a structural biologist whose work addresses one of the field’s most persistent bottlenecks: protein crystallization. His research focuses on the intersection of data management, bioinformatics, and structural biology, with a particular emphasis on developing systematic approaches to handle the vast datasets generated by high-throughput crystallization screens. Tetis’s most cited work, “Managing and mining protein crystallization data” (2005), tackles the challenge of moving beyond conventional laboratory notebooks to create structured, searchable frameworks for tracking thousands of crystallization conditions and optimization trials. By proposing methods to mine this data for patterns, his contributions help researchers identify successful crystallization strategies more efficiently, reducing trial-and-error in structural determination. While his citation count remains modest, his work is foundational for labs adopting data-driven crystallization pipelines. Tetis’s research underscores a critical insight: that the path to solving macromolecular structures begins not at the synchrotron, but in the careful organization of experimental metadata. His efforts continue to support the broader structural biology community in turning crystallization from an art into a more reproducible science.