Lijun Wang
5 Papers
1 Citations
Lijun Wang is an academic researcher. The author has contributed to research in topics: Medicine & Computer science. The author has an hindex of 1, co-authored 5 publications.
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Papers
Application of Microfluidics in Drug Development from Traditional Medicine
Xue Li,Xiao-ming Fan,Zhu Li,Lina Shi,Jinkuan Liu,Hongzhi Luo,Lijun Wang,Xiaoxin Du,Wenzhu Chen,Jiuchuan Guo,Chenzhong Li,Shan Liu +11 more
TL;DR: In this paper , an overview of advanced microfluidics and its applications in drug development (drug compound synthesis, drug screening, drug delivery, and drug carrier fabrication) with a focus on their applications in conventional medicine, including the separation and purification of target components in complex samples and screening of active ingredients of conventional drugs.
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Droplet microarray platforms for high-throughput drug screening
Lina Shi,Sutong Liu,Xue Li,Xiwei Huang,Hongzhi Luo,Qianwen Bai,Zhu Li,Lijun Wang,Xiaoxin Du,Shan Liu +9 more
TL;DR: The preparation method of the droplet microarray, method of adding compounds in parallel, and means to read the results are briefly described, including their application in high-throughput culture, cell screening, high-Throughput nucleic acid screening, drug development, and individualized medicine.
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Paper-Based Fluidic Sensing Platforms for β-Adrenergic Agonist Residue Point-of-Care Testing
TL;DR: The development direction and prospects for the commercialization of paper-based devices are considered, shedding light on the development of point-of-care testing devices for β-adrenergic agonist residue detection.
Proteome and phosphoproteome profiling of non‐small cell lung cancer cell line A549 treated with TRAIL
Yi Zhong,Fen Yang,Tao Su,Xiyu Wu,Wen Zheng,Lu Zhang,Ge Liang,Lian Yun Wang,Lijun Wang,Shisheng Wang,Hao Yang +10 more
TL;DR: The proteome and phosphoproteome of non-small cell lung cancer cell line A549 treated with TRAIL was investigated and it was indicated that 126 proteins and 1684 phosphosites were markedly differentially expressed between the phosphate-buffered saline- and TRAIL-treated groups.
1
Evaluation of neuroprotective agents acting via the BDNF–TrkB pathway using AI‐enabled predictions of ligand–receptor interactions
Jing Zhu,Jun Zou,Fei Li,Yuanxu Gao,Lijun Wang,Yi Sun,Jie Zhu,Xiaomeng Zhang,Kanmin Xue,Gen Li,Nga M. Cheng,J. Guo,Xiulan Zhang,Kang Zhang +13 more
- 01 Jun 2022
TL;DR: In this article , an artificial intelligence (AI) model was developed to predict the three-dimensional protein structures of BDNF and TrkB, as well as their interaction at the atomic level.