UM

Browse/Search Results:  1-2 of 2 Help

Selected(0)Clear Items/Page:    Sort:
Development of in silico methodology for siRNA lipid nanoparticle formulations Journal article
Gao, Haoshi, Kan, Stanislav, Ye, Zhuyifan, Feng, Yuchen, Jin, Lei, Zhang, Xudong, Deng, Jiayin, Chan, Ging, Hu, Yuanjia, Wang, Yongjun, Cao, Dongsheng, Ji, Yuanhui, Liang, Mingtao, Li, Haifeng, Ouyang, Defang. Development of in silico methodology for siRNA lipid nanoparticle formulations[J]. Chemical Engineering Journal, 2022, 442, 136310.
Authors:  Gao, Haoshi;  Kan, Stanislav;  Ye, Zhuyifan;  Feng, Yuchen;  Jin, Lei; et al.
Favorite | TC[WOS]:15 TC[Scopus]:16  IF:13.3/13.2 | Submit date:2022/05/13
Cationic Lipids  Knockdown Efficiency  Lipid Nanoparticle  Machine Learning  Molecular Dynamic Simulation  Sirna  
The effects of different training modes on the performance of silent speech recognition based on high-density sEMG Conference paper
Pi, Yao, Zhu, Mingxing, Yang, Zijian, Wang, Xin, Wang, Cheng, Zhang, Haoshi, Wang, Mingjiang, Wan, Feng, Chen, Shixiong, Li, Guanglin. The effects of different training modes on the performance of silent speech recognition based on high-density sEMG[C], 2021, 429-432.
Authors:  Pi, Yao;  Zhu, Mingxing;  Yang, Zijian;  Wang, Xin;  Wang, Cheng; et al.
Favorite | TC[Scopus]:0 | Submit date:2021/12/08