Email: saika_mx@163.com

Introduction:

I was born in Shanghai, China and I received BS degree from ECUST in 2018. I'm currently a PhD graduate in the research group of Professor Li at ECUST and major in CADD/AIDD.

Education background:

2014 - 2018, East China University Of Science And Technology, Pharmacy, B.E.
2018 - 2026, East China University Of Science And Technology, Pharmacy, Ph.D.

Publication:

[1] ZiJing Tian, Yan Dai, Feng Hu, ZiHao Shen, HongLing Xu, HongWen Zhang, JinHang Xu, YuTing Hu, YanYan Diao*, HongLin Li*. Enhancing Chemical Reaction Monitoring with a Deep Learning Model for NMR Spectra Image Matching to Target Compounds. J. Chem. Inf. Model, 2024. 64(14) : 5624-5633.

[2] Yanyan Diao, Feng Hu, Zihao Shen, Honglin Li*. MacFrag: segmenting large-scale molecules to obtain diverse fragments with high qualities. Bioinformatics, 2023. 39(1) : btad012.

[3] Jie Wang, Zihao Shen, Yichen Liao, Zhen Yuan, Shiliang Li, Gaoqi He, Man Lan, Xuhong Qian, Kai Zhang*, Honglin Li*. Multi-modal chemical information reconstruction from images and texts for exploring the near-drug space. Briefings Bioinf., 2022. 23(6) : bbac461.

[4] Ziyan Feng, Zihao Shen, Honglin Li, Shiliang Li*. e-TSN: an interactive visual exploration platform for target–disease knowledge mapping from literature. Briefings Bioinf., 2022. 23(6) : bbac465.

[5] Zihao Shen, Yu-Hang Yan, ShuoYang, Sang Zhu, Yuan Yuan, Zhiqiang Qiu, HuanJia, Ruiqiong Wang, Guo-Bo Li*, Honglin Li*. ProfKin: A comprehensive web server for structure-based kinase profiling. Eur. J. Med. Chem., 2021. 225 : 113772.

[6] Disha Wang, Wenjun Liu, Zihao Shen, Lei Jiang, Jie Wang, Shiliang Li*, Honglin Li*. Deep Learning Based Drug Metabolites Prediction. Front. Pharmacol., 2020. 10 : 1586.

[7] Wei Xiao, Disha Wang, Zihao Shen, Shiliang Li,Honglin Li*. Multi-Body Interactions in Molecular Docking Program Devised with Key Water Molecules in Protein Binding Sites. Molecules, 2018. 23(9) : 2321-2342.