AI agent supervision of structural model building and refinement
An AI agent supervised structural model building and refinement for cryo-EM and X-ray data, improving model quality with minimal researcher input.
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National Taiwan UniversityORCID 0000-0002-1525-6004Unclaimed ORCID profile · follow to get notified of new preprints
6 papers
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An AI agent supervised structural model building and refinement for cryo-EM and X-ray data, improving model quality with minimal researcher input.
Chun-Hsiung Wang, Kuen‐Phon Wu, Yuan‐Chih Chang
This study compares low-magnification super-resolution and physical-pixel workflows in cryo-EM, showing that effectiveness depends on specimen-specific signal and sampling limitations.
Jessica Y. C. Huang, Kuen‐Phon Wu
This study investigates how calcium ions affect the structure and aggregation of the A53T mutant of α-synuclein, revealing structural changes in fibril formation.
Piotr Drączkowski, Szu-Ni Chen, Ting Chen…·Shang‐Te Danny Hsu
The paper reports cryo-EM structures of the human 26S proteasome bound to K11/K48-branched ubiquitin chains, revealing a multivalent recognition mechanism involving new binding sites for K11 and alternating K11-K48 linkages.
Pei-Tzu Chen, Jia-Yin Yeh, Jui–Hsia Weng, Kuen‐Phon Wu
The paper determines the cryo-EM structure of the UBA7-UBE2L6 disulfide complex and identifies factors influencing its formation, revealing its role in ISG15 conjugation and immune response regulation.
Szu-Chi Chung, Hsin‐Hung Lin, Tien-You Liu…·I‐Ping Tu
RE2DC improves 2D classification in cryo-EM by balancing computational efficiency and robustness, achieving faster processing and better resolution of rare particle populations.