PostDoc, Major in Bioinformatics Quzhou People's Hospital University of Electronic Science and Technology of China Email: 964914140@qq.com Advisor: Professor Quan Zou

Education

• Oct 2020 - Sep 2023: PhD in Computer Science, University of Tsukuba, Japan

• Sep 2017 - June 2020: Master in Computer Science, Hebei University of Engineering, China

• Sep 2013 - June 2017: Bachelor in Computer Science, Handan College, China

Research

My research interests include

• Drug-Target Interaction Prediction

• Learning to Rank

• Sequence Classification

Publications

• Xiaoqing Ru. Dual cold-Start in drug-drug interaction prediction: Integrating data curation, evaluation benchmarking, and mechanistic reasoning.(Finished)

• Xiaoqing Ru. Drug–drug interaction prediction: paradigm shifts, key bottlenecks, and future directions.(Submitted to WIREs Computational Molecular Science)

• Jiechen Wang, Jiaqi Song, Huihui Zhang,Xiaoqing Ru. Genome-Wide Identification of the TGA transcription factor Family in Populus alba × Populus glandulosa and Functional Validation of PagTGA7b in Salt Tolerance.(Major revisions)

• Xiaoqing Ru, Chao Zha, Xin Gao. Incorporating Neighboring Protein Features for Enhanced Drug–Target Interaction Prediction: A Comparative Analysis of Similarity-Based Alignment Methods[J]. Journal of Chemical Information and Modeling 2025, 65(14): 7701–7711.

• Xiaoqing Ru, Lifeng Xu, Wu Han, Quan Zou. In silico methods for drug-target interaction prediction[J]. Cell Reports Methods 2025, 5(10): 101184.

• Xiaoqing Ru, Shulin Zhao, Quan Zou, Lifeng Xu. Identify potential drug candidates within a high-quality compound search space[J]. Briefings in Bioinformatics, 2025, 26(1): bbaf024.

• Xiaoqing Ru, Quan Zou, Chen Lin. Optimization of drug-target affinity prediction methods through feature processing schemes[J]. Bioinformatics 2023, 39(11): btad615.

• Xiaoqing Ru, Xiucai Ye, Tetsuya Sakurai, Quan Zou. NerLTR-DTA: Drug-target binding affinity prediction based on neighbor relationship and learning to rank[J]. Bioinformatics 2022, 38(7): 1964-1971.

• Xiaoqing Ru, Xiucai Ye, Tetsuya Sakurai, Quan Zou. Application of Learning to Rank in Bioinformatics Tasks[J]. Briefings in Bioinformatics 2021,22(5):1-11.

• Xiaoqing Ru, Xiucai Ye, Tetsuya Sakurai, Quan Zou, Lei Xu, Chen Lin. Current status and future prospects of drug–target interaction prediction[J]. Briefings in Functional Genomics 2021, 20(5):312-322.

• Lei Xu, Xiaoqing Ru,and Rong Song. Application of machine learning for drug–target interaction prediction[J]. Frontiers in Genetics 2021, 12:1077.

• Xiaoqing Ru, Lida Wang, Lihong Li,Hui Ding,Xiucai Ye and Quan Zou. Exploration of the correlation between GPCRs and drugs based on a learning to rank algorithm [J]. COMPUTERS IN BIOLOGY AND MEDICINE, 2020,119:103660

• Xiaoqing Ru, Peigang Cao, Lihong Li, and Quan Zou. Selecting essential microRNAs using a novel voting method [J]. Molecular Therapy - Nucleic Acids, 2019, 18:16-23

• Xiaoqing Ru, Lihong Li; Quan Zou. Incorporating Distance-Based Top-n-gram and Random Forest To Identify Electron Transport Proteins [J]. Journal of proteome research, 2019, 18(7): 2931-2939

• Xiaoqing Ru, Lihong Li, Chunyu Wang. Identification of phage viral proteins with hybrid sequence features [J]. Frontiers in Microbiology, 2019, 10

Project

• 2022-2024 National Natural Science Youth Fund (62101094)， 结题

• 2025-2028 National Natural Science Youth Fund (32470693)， 在研