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Yunzhuo Zhou

Showing results (1-10 of 9) with videos related to

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Nucleic Acids Research|June 2, 2026
SGGly: a web server for whole-protein, structure-guided analysis of candidate N-linked glycosylation sitesXiaotong Gu, Yunzhuo Zhou, Yoochan Myung, et al.
Nucleic Acids Research|May 23, 2024
DDMut-PPI: predicting effects of mutations on protein-protein interactions using graph-based deep learningYunzhuo Zhou, YooChan Myung, Carlos H M Rodrigues, et al.
Nucleic Acids Research|June 7, 2023
DDMut: predicting effects of mutations on protein stability using deep learningYunzhuo Zhou, Qisheng Pan, Douglas E V Pires, et al.
Journal of Chemical Information and Modeling|December 22, 2025
kinCSM-RTK: Machine Learning-Based Screening of Receptor Tyrosine Kinase Inhibitors in Drug DiscoveryAdam Serghini, Yunzhuo Zhou, Yoochan Myung, et al.
Computational and Structural Biotechnology Journal|October 20, 2021
Structure-guided machine learning prediction of drug resistance mutations in Abelson 1 kinaseYunzhuo Zhou, Stephanie Portelli, Megan Pat, et al.
Protein Science : a Publication of the Protein Society|October 28, 2022
kinCSM: Using graph-based signatures to predict small molecule CDK2 inhibitorsYunzhuo Zhou, Raghad Al-Jarf, Azadeh Alavi, et al.
Environmental Science & Technology|November 3, 2023
Large-Scale Observations Support Aboveground Vegetation as an Important Biological Mercury Sink in the Tibetan PlateauZhaohan Chu, Yunzhuo Zhou, Maodian Liu, et al.
Medrxiv : the Preprint Server for Health Sciences|September 21, 2023
Joint genotypic and phenotypic outcome modeling improves base editing variant effect quantificationJayoung Ryu, Sam Barkal, Tian Yu, et al.
Nature Genetics|April 24, 2024
Joint genotypic and phenotypic outcome modeling improves base editing variant effect quantificationJayoung Ryu, Sam Barkal, Tian Yu, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Nucleic Acids Research|June 2, 2026
SGGly: a web server for whole-protein, structure-guided analysis of candidate N-linked glycosylation sitesXiaotong Gu, Yunzhuo Zhou, Yoochan Myung, et al.
Nucleic Acids Research|May 23, 2024
DDMut-PPI: predicting effects of mutations on protein-protein interactions using graph-based deep learningYunzhuo Zhou, YooChan Myung, Carlos H M Rodrigues, et al.
Nucleic Acids Research|June 7, 2023
DDMut: predicting effects of mutations on protein stability using deep learningYunzhuo Zhou, Qisheng Pan, Douglas E V Pires, et al.
Journal of Chemical Information and Modeling|December 22, 2025
kinCSM-RTK: Machine Learning-Based Screening of Receptor Tyrosine Kinase Inhibitors in Drug DiscoveryAdam Serghini, Yunzhuo Zhou, Yoochan Myung, et al.
Computational and Structural Biotechnology Journal|October 20, 2021
Structure-guided machine learning prediction of drug resistance mutations in Abelson 1 kinaseYunzhuo Zhou, Stephanie Portelli, Megan Pat, et al.
Protein Science : a Publication of the Protein Society|October 28, 2022
kinCSM: Using graph-based signatures to predict small molecule CDK2 inhibitorsYunzhuo Zhou, Raghad Al-Jarf, Azadeh Alavi, et al.
Environmental Science & Technology|November 3, 2023
Large-Scale Observations Support Aboveground Vegetation as an Important Biological Mercury Sink in the Tibetan PlateauZhaohan Chu, Yunzhuo Zhou, Maodian Liu, et al.
Medrxiv : the Preprint Server for Health Sciences|September 21, 2023
Joint genotypic and phenotypic outcome modeling improves base editing variant effect quantificationJayoung Ryu, Sam Barkal, Tian Yu, et al.
Nature Genetics|April 24, 2024
Joint genotypic and phenotypic outcome modeling improves base editing variant effect quantificationJayoung Ryu, Sam Barkal, Tian Yu, et al.
Pageof 1