ChemistryNature Communications
Developing a machine learning model for accurate nucleoside hydrogels prediction based on descriptors
W. Li, Y. Wen, et al.
Discover the groundbreaking research by Weiqi Li, Yinghui Wen, Kaichao Wang, Zihan Ding, Lingfeng Wang, Qianming Chen, Liang Xie, Hao Xu, and Hang Zhao on predictive machine learning models for hydrogel-forming nucleoside derivatives. With a 71% accuracy rate, their model led to the development of two novel cation-independent nucleoside hydrogels, showing immense potential for Ag+ and cysteine detection.
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