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Xinchun Ran

Showing results (1-10 of 18) with videos related to

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The Journal of Physical Chemistry. B|May 3, 2023
Accelerated Entropic Path Sampling with a Bidirectional Generative Adversarial NetworkWook Shin, Xinchun Ran, Zhongyue J Yang
Protein Engineering, Design & Selection : PEDS|October 10, 2022
Data-driven enzyme engineering to identify function-enhancing enzymesYaoyukun Jiang, Xinchun Ran, Zhongyue J Yang
Chemical Science|November 16, 2023
EnzyKR: a chirality-aware deep learning model for predicting the outcomes of the hydrolase-catalyzed kinetic resolutionXinchun Ran, Yaoyukun Jiang, Qianzhen Shao, et al.
Nature Computational Science|April 24, 2025
Physics-based modeling in the new era of enzyme engineeringChristopher Jurich, Qianzhen Shao, Xinchun Ran, et al.
Methods in Enzymology|May 23, 2026
Predicting lasso peptide structure with LassoPredXingyu Ouyang, Xinchun Ran, Dantong Zhu, et al.
Protein Science : a Publication of the Protein Society|August 15, 2025
Finding the dark matter: Large language model-based enzyme kinetic data extractor and its validationGalen Wei, Xinchun Ran, Runeem Ai-Abssi, et al.
Chem Catalysis|July 28, 2025
SubTuner leverages physics-based modeling to complement AI in enzyme engineering toward non-native substratesQianzhen Shao, Asher C Hollenbeak, Yaoyukun Jiang, et al.
Angewandte Chemie (International Ed. in English)|April 24, 2025
Enhancing Cold Adaptation of Bidomain Amylases by High-Throughput Computational EngineeringNing Ding, Yaoyukun Jiang, Robbie Ge, et al.
Journal of Chemical Information and Modeling|October 26, 2022
IntEnzyDB: an Integrated Structure-Kinetics Enzymology DatabaseBailu Yan, Xinchun Ran, Anvita Gollu, et al.
ACS Central Science|March 27, 2023
High-Throughput Screen Reveals the Structure-Activity Relationship of the Antimicrobial Lasso Peptide UbonodinAlina Thokkadam, Truc Do, Xinchun Ran, et al.
Pageof 2

Showing results (1-10 of 18) with videos related to

Sort By:
Pageof 2
The Journal of Physical Chemistry. B|May 3, 2023
Accelerated Entropic Path Sampling with a Bidirectional Generative Adversarial NetworkWook Shin, Xinchun Ran, Zhongyue J Yang
Protein Engineering, Design & Selection : PEDS|October 10, 2022
Data-driven enzyme engineering to identify function-enhancing enzymesYaoyukun Jiang, Xinchun Ran, Zhongyue J Yang
Chemical Science|November 16, 2023
EnzyKR: a chirality-aware deep learning model for predicting the outcomes of the hydrolase-catalyzed kinetic resolutionXinchun Ran, Yaoyukun Jiang, Qianzhen Shao, et al.
Nature Computational Science|April 24, 2025
Physics-based modeling in the new era of enzyme engineeringChristopher Jurich, Qianzhen Shao, Xinchun Ran, et al.
Methods in Enzymology|May 23, 2026
Predicting lasso peptide structure with LassoPredXingyu Ouyang, Xinchun Ran, Dantong Zhu, et al.
Protein Science : a Publication of the Protein Society|August 15, 2025
Finding the dark matter: Large language model-based enzyme kinetic data extractor and its validationGalen Wei, Xinchun Ran, Runeem Ai-Abssi, et al.
Chem Catalysis|July 28, 2025
SubTuner leverages physics-based modeling to complement AI in enzyme engineering toward non-native substratesQianzhen Shao, Asher C Hollenbeak, Yaoyukun Jiang, et al.
Angewandte Chemie (International Ed. in English)|April 24, 2025
Enhancing Cold Adaptation of Bidomain Amylases by High-Throughput Computational EngineeringNing Ding, Yaoyukun Jiang, Robbie Ge, et al.
Journal of Chemical Information and Modeling|October 26, 2022
IntEnzyDB: an Integrated Structure-Kinetics Enzymology DatabaseBailu Yan, Xinchun Ran, Anvita Gollu, et al.
ACS Central Science|March 27, 2023
High-Throughput Screen Reveals the Structure-Activity Relationship of the Antimicrobial Lasso Peptide UbonodinAlina Thokkadam, Truc Do, Xinchun Ran, et al.
Pageof 2