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Xiaoying Jiang

As seen in: Nature, Wiley Online Library, PLOS ONE, MDPI, ACS Publications, Science Magazine, Dove Medical Press, ASM Journals, Dialnet - Universidad de La Rioja, The Cureus Journal of Medical Science and
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Articles

Discovery of TYR inhibitors from de novo molecular generation to dual-track lead optimization: “Competition” between AI and chemists

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By Andrea Cimolato, Tahnee Mackensen, Wenqi Pan, Yinyan Sun, Jiahui Wang, Wenchao Chen, Xiaoying Jiang, Shan Wang Verified, Jia Zhi, Feifan Li, Meiling Feng, Xiaotian Niu, Bin Ju, Jianan Guo, Renren Bai
| Science Magazine Verified
Abstract INTRODUCTION RESULTS DISCUSSION MATERIALS AND METHODS Acknowledgments Supplementary Materials REFERENCES Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract This study introduces a unified framework combining artificial intelligence (AI)–directed de novo molecular generation with dual-track lead optimization—comprising expert-guided strategies and AI-driven pathways—to discover tyrosinase (TYR) inhibitors for hyperpigmentation disorders.
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Towards green magnesium preparation using a recyclable argon plasma anode for continuous electrolysis in molten chlorides - Communications Chemistry

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By Sen Feng, Xiaoying Jiang, Chengyuan Ni, Mouhamadou Aziz Diop, Fengguo Liu, Jun Liu, Chengdong Xia, Junjie Zhang, Aimin Liu, Zhongning Shi
| Nature Verified
Abstract During the magnesium electrolysis process, graphite anodes are prone to consumption and fragmentation, disrupting normal operations and releasing greenhouse gases. In this study, we introduce a continuous, carbon-free approach to magnesium electrolysis using a stable argon plasma as the anode. The argon plasma anode operates via two distinct electrochemical stages: argon ionization at an average potential of 347.3 ± 95.3 V and chlorine evolution at 124.5 ± 9.0 V.
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Discovery of Novel Dihydroxyphenol Tyrosinase Inhibitors for Treatment of Pigmentation: From Enzyme Screening to Three-Dimensional Human Skin Melanin Evaluation

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By Jiahui Wang, Yinyan Sun, Xiaoying Jiang, Hong Cai
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