Dong‐Qing Wei
Qiqihar University(CN)Nanjing Agricultural University(CN)North China University of Science and Technology(CN)Tianjin Chengjian University(CN)Shanghai Jiao Tong University(CN)Kunming Medical University(CN)Henan University of Technology(CN)Sinolight (China)(CN)Henan Academy of Sciences(CN)Beijing Zhongke Science and Technology (China)(CN)Key Laboratory of Guangdong Province(CN)MEI Research (United States)(US)Shanghai Advanced Research Institute(CN)Nanyang Institute of Technology(CN)Institut thématique Génétique, génomique et bioinformatique(FR)Qi2(US)Qihe People's Hospital(CN)Institute of Food Science & Technology(GB)Huanghuai University(CN)Peng Cheng Laboratory(CN)Shanghai Center For Bioinformation Technology(CN)Anyang Hospital of Traditional Chinese Medicine(CN)Institute of Zoology(CN)Southeast University(CN)Fujian University of Technology(CN)University of Science and Technology Beijing(CN)
Publications by Year
Research Areas
Computational Drug Discovery Methods, Protein Structure and Dynamics, vaccines and immunoinformatics approaches, Machine Learning in Bioinformatics, SARS-CoV-2 and COVID-19 Research
Most-Cited Works
- → Higher infectivity of the SARS‐CoV‐2 new variants is associated with K417N/T, E484K, and N501Y mutants: An insight from structural data(2021)366 cited
- → Binding mechanism of coronavirus main proteinase with ligands and its implication to drug design against SARS(2003)309 cited
- → Orientational order in simple dipolar liquids: Computer simulation of a ferroelectric nematic phase(1992)281 cited
- → DTI-CDF: a cascade deep forest model towards the prediction of drug-target interactions based on hybrid features(2019)209 cited
- → A transformer-based model to predict peptide–HLA class I binding and optimize mutated peptides for vaccine design(2022)182 cited
- → MDF-SA-DDI: predicting drug–drug interaction events based on multi-source drug fusion, multi-source feature fusion and transformer self-attention mechanism(2021)174 cited