Yingrui Wang
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Tunable Surface Chemistry of Molten Salt Derived MXenes for Data-Driven Electrochemical Materials Discovery
1 Introduction Among the rapidly expanding family of two-dimensional materials, MXenes have emerged as a versatile class with broad applications in energy storage, catalysis, water purification, and sensing [1]. Their mechanical robustness, metallic conductivity, and layered structure with high and tunable surface area underpin their functional performance across these applications [2].
Towards the construction of a virtual yeast
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Abstract To advance the computational simulation of cellular life, we propose a virtual yeast, an artificial intelligence (AI)-driven agent that models eukaryotic cellular behaviours by integrating multimodal biological data, mechanistic reasoning and active experimentation using Saccharomyces cerevisiae as a genetically tractable and data-rich model system.
By Liujia Qian, Zizhuo Zhou, Peijie Zhou, Zhen Dong, Xudong Zhang, Zhangyang Gao, Siqi Sun, Kevin Roy, Shuaiyao Wang, Nicola Zamboni, Charles Boone, Michael Costanzo, Jianzhe Li, Gianni Liti, Jia-Xing Yue, Markus Ralser, Evan Williams, Mattia Zampieri, Heng Jiang, Tailin Wu, Yalin Wang, Feiran Li, Joseph Schacherer, Rui Sun, Zhaoxing Li, Yaming Deng, Yi Chen, Zhiping Xie, Huiqiang Lou, Xiaowen Wang, Linhai Xie, Liangyi Chen, Kai Lei, George Rosenberger, Xue Cai, Yingrui Wang, Qi Xiao, Huaizong Shen, Gaowen Liu, Lei Ma, Brenda Andrews, HUI LU, Kiryl D. Piatkevich, Yi Zhu, Lei Bai, Yizhi Cai, Yuping Chen, Ge Gao, Fuchu He, Luonan Chen, Stan Z Li, Hongwu Ma, Liang Qiao, Lars M. Steinmetz, Tang K. Tang, Xiaofan Zhang, JING YANG, Yifan Yang, Kaicheng Yu, Jianyang Zeng, Yefeng Zheng, Bowen Zhou, Tiannan Guo, Zhenwu Dai, Leihan Tang
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Nature
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OpenIO: An open framework for AI-native immunotherapy
Get full text access Log in, subscribe or purchase for full access. References 1. Lesterhuis, W.J. ∙ Haanen, J.B.A.G. ∙ Punt, C.J.A. Cancer immunotherapy—revisited Nat. Rev. Drug Discov. 2011; 10:591-600 2. Nguyen, E. ∙ Poli, M. ∙ Durrant, M.G. ... Sequence modeling and design from molecular to genome scale with Evo Science. 2024; 386, eado9336 3. Cui, H. ∙ Wang, C. ∙ Maan, H. ... scGPT: toward building a foundation model for single-cell multi-omics using generative AI Nat. Methods. 2024; 21:1470-1480 4.
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