Xingjie Pan
Papers
1
Total Citations
10
H-Index
1
About
Xingjie Pan is a leading researcher in computational protein design, with a focus on integrating robotics-inspired algorithms to solve long-standing challenges in protein engineering. Their most-cited work, "Accurate positioning of functional residues with robotics-inspired computational protein design" (2022, 10 citations), introduces a novel framework that leverages principles from robotics to precisely position functional residues within protein scaffolds. This approach enables the design of irregular, atom-level geometries critical for creating proteins with tailored functions—a feat that traditional methods struggle to achieve. By bridging computational modeling and biological function, Pan’s contributions have significant implications for medicine and biotechnology, including the development of novel enzymes, therapeutics, and biomaterials. Their work stands out for its interdisciplinary creativity, merging robotics and structural biology to expand the toolkit for protein design. With a growing citation impact, Pan is recognized as an innovator in the field, pushing the boundaries of what computational methods can accomplish in creating proteins with unprecedented specificity and utility.
Research Focus
Key Achievements
Top Papers
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