Chaok Seok
Papers
1
Total Citations
307
H-Index
1
About
Chaok Seok is a leading computational biophysicist whose research centers on protein structure prediction, modeling, and design. She is best known for pioneering a rigorous geometric approach to the long-standing "loop closure" problem—determining the possible backbone conformations of a protein segment that must seamlessly connect two fixed structural regions. Her seminal 2004 paper, "A kinematic view of loop closure," which has garnered over 300 citations, reframed this challenge using principles from robotics and kinematics, enabling more accurate and efficient sampling of loop conformations. This work has had a profound impact on protein modeling, particularly in refining homology models and designing functional loops. Beyond loop closure, Seok has made significant contributions to protein docking and structure prediction, notably through the development of the GalaxyWEB and GalaxyRefine servers, widely used tools for protein structure refinement. Her achievements have been recognized with numerous awards, including the Korean Young Scientist Award, and she continues to advance the field by integrating physics-based modeling with machine learning, inspiring a new generation of computational biologists.
Research Focus
Key Achievements
Top Papers
- 1A kinematic view of loop closure307 citations · 2004