Dongya Qin

Comprehensive Interactions of ACE Inhibitors With Their Receptor by a Support Vector Machine Model and Molecular Docking

Wanqian Liu, Guizhao Liang, Dongya Qin, 2017 .

Application of quantitative structure-activity relationship to food-derived peptides: Methods, situations, challenges and prospects

Hu Mei, Guizhao Liang, Bo Li, 2021, Trends in Food Science & Technology.

Insight into the Structure–Odor Relationship of Molecules: A Computational Study Based on Deep Learning

G. Liang, Dongya Qin, Xin Zheng, 2022, Foods.

Caffeoyl malic acid is a potential dual inhibitor targeting TNFα/IL-4 evaluated by a combination strategy of network analysis-deep learning-molecular simulation

G. Liang, Dongya Qin, Liang Jin, 2022, Comput. Biol. Medicine.

Prediction of bitterant and sweetener using structure-taste relationship models based on an artificial neural network.

Yinghong Li, G. Liang, Dongya Qin, 2022, Food research international.

Prediction of antioxidant peptides using a quantitative structure-activity relationship predictor (AnOxPP) based on bidirectional long short-term memory neural network and interpretable amino acid descriptors

Youjin Hao, G. Liang, Dongya Qin, 2023, Comput. Biol. Medicine.

Identification of the functional food ingredients with antithrombotic properties via virtual screen and experimental studies.

Dongya Qin, Xin Zheng, Weichen Bo, 2021, Food chemistry.