By Last Name
WU YangAssociate Professor
Research Areas:
Intelligent Drug Screening;Big Data for Traditional Chinese Medicine;Bioinformatics
Department:
Research Center For Ubiquitous Computing Systems
Tutor Category:
Contact:
wuyang@ict.ac.cn
Personal Page:
https://scholar.google.com/citations?user=thCAuYkAAAAJ&hl=zh-CN
Dr. Yang Wu is an associate investigator in ICT, CAS. She engaged in the studies of intelligent drug screenings based on the big data for traditional Chinese medicine (TCM) and bioinformatics technologies. She built two representative platforms in TCM named SymMap (Nucleic Acids Research 2019) and HERB (Nucleic Acids Research 2021), with both papers are rated as SCI highly cited (top 1%). In total, she has published 27 SCI papers, with more than 2700 cited times over the past 5 years. She is the council member of the big data and artificial intelligence branch of China Medical Association of Minorities, and the Chinese medicine health data branch of China Information Association of Traditional Chinese Medicine. She is also an consulting expert in the direction of intelligent Chinese medicine and ethnic medicine for the Haidian district government in Beijing. She got an excellent researcher award of ICT, CAS in 2020, and an excellent staff of the CUbiCS department of ICT, CAS in 2021.
Publications:
1. Fang, S. et al., Wu, Y.,# and Zhao Y.# (2021) HERB: a high-throughput experiment- and reference-guided database of traditional Chinese medicine. Nucleic acids Research 49, D1197-1206 (co-corresponding author)
2. Wu, Y. et al., (2019) SymMap: an integrative database of traditional Chinese medicine enhanced by symptom mapping. Nucleic Acids Research 47, D1110-1117
3. Wu Y. et al., (2016) RNAex: an RNA secondary structure prediction server enhanced by high-throughput structure-probing data. Nucleic Acids Research 44, W294-301
4. Wu Y. et al., (2015) Improved prediction of RNA secondary structure by integrating the free energy model with restraints derived from experimental probing data. Nucleic Acids Research 43(15), 7247-49
5. Hu, X., Wu, Y.,* et al., (2016) Analysis of sequencing data for probing RNA secondary structures and protein-RNA binding in studying post- transcriptional regulations. Briefings in Bioinformatics 17(6), 1032-1043 (co-first author)
Funds:
1. The national natural science foundation of China 2018, ‘integrative study of RNA-protein interaction based on the RNA structurome probing data’, project leader
2. The national key R&D program of China 2018, ‘technology development on automatic information acquisition and understanding for diseases advantageously treated by traditional Chinese medicine’, sub-project leader
3. The national key R&D program of China 2019, ‘research on driving genetic characteristics of the occurrence, relapse and metastasis for high-risk neuroblastoma’, sub-project leader
4. The national key R&D program of China 2022, ‘research on the biological basis under the syndrome differentiation and corresponding TCM treatments of heart failure’, sub-project leader
5. The national key R&D program of China 2022, ‘biomarker studies for predicting the progression risk and efficacy of chronic kidney disease’, key participant