포항공과대학교 단백질 설계연구실
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We are hiring graduate students and postdocs!
We computationally design proteins to program how they self-assemble into complex nanostructures.
We computationally design proteins to program how they self-assemble into complex nanostructures.
We design protein nanostructures with useful structural, chemical, and biological properties. Based on chemical & physical principles, geometric principles, and machine learning, we design proteins computationally and validate them experimentally. By iterating computational and experimental approaches, we improve protein design methods and develop new design principles.
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우리 연구실은 유용한 구조적, 화학적, 생물학적 특성을 갖는 단백질 나노구조체를 설계하는 연구를 수행합니다. 물리화학 및 기하학적 원리, 그리고 기계학습 방식을 기반으로 단백질을 전산설계하고, 이를 실험적으로 검증하는 과정을 함께 수행합니다. 전산설계와 실제 실험결과의 비교/분석을 통해 지속적으로 단백질 설계 방식을 개선하고 새로운 설계원리를 제안하는 연구를 수행합니다. [더보기]
Join our team
Join our team
We are hiring graduate students, undergrad researchers, and postdocs.
대학원생, 박사 후 연구원, 학부 연구생을 모집합니다.
Selected Publications [Full List] [Google Scholar]
"Design of one-component quasisymmetric protein nanocages", Nature 655, 259-265 (2026)
"Four-component protein nanocages designed by programmed symmetry breaking", Nature 638, 546-552 (2025)
"Colloidal quasicrystals engineered with DNA", Nature Materials 23, 424-428 (2024)
"Entropy compartmentalization stabilizes open host–guest colloidal clathrates", Nature Chemistry 15, 905-912 (2023)
"Shape memory in self-adapting colloidal crystals", Nature 610, 674-679 (2022)
"The emergence of valency in colloidal crystals through electron equivalents", Nature Materials 21, 580-587 (2022)
"Clathrate colloidal crystals", Science 355, 931-935 (2017)
Nature 655, 259-265 (2026)
Nature 638, 546-552 (2025)
Nature Chemistry 15, 905-912 (2023)
Science 355, 931-935 (2017)
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