Projects per year
Personal profile
Personal profile
Dr. Xin Liu received her bachelor degree in Bioinformatics from Tongji University in 2007. She received her PhD degree in bioinformatics and drug design from National University of Singapore in Feb 2013. She joined Xi’an Jiaotong-Liverpool University in Feb 2019 as a lecturer in bioinformatics. Her previous research centers around system biology and computer aided drug design. Her systems analysis of cross-talks between signaling pathways promises to facilitate, at the systems level, the understanding of mechanisms of biological processes, diseases and enhanced therapeutic efficacies of multi-targeting drugs and drug combinations. She also developed a machine learning based quantitative structure-activity relationship (QSAR) method which extended the applicability of QSAR methods beyond similarity-based applicability domains (ADs). This QSAR method is capable of searching large chemical libraries for virtual hits, especially novel ones, at comparable yield and substantially improved hit rate and enrichment factor in comparison with an established method. She has published 10 peer-reviewed papers in such top journals in the field of medicinal chemistry as Current Medicinal Chemistry, PNAS and Nucleic Acids Research.Before joining XJTLU, Dr. Liu worked in industry for 6 years devoting to the exploration of molecular mechanisms of human diseases and biomarker identification by multi-omics methods and data mining.
Research interests
Systems analysis of cross-talks between pathways facilitating systems level understanding human diseases and drug target identification
Development of machine learning based quantitative structure-activity relationship (QSAR) method for high throughput screening of novel drug hits
Biomarker discovery by high throughput –omics data mining by incorporating consensus scoring of multiple random sampling and multistep evaluation of gene-ranking consistency for maximally avoiding erroneous elimination of predictor genes
Experience
Assistant Professor, Department of Biological Sciences, Xi’an Jiaotong-Liverpool University - 2019 to Present
Bioinformatics Department Manager, Shanghai Genechem Co.,Ltd. - 2016 to 2019
Bioinformatics Team Leader, Shanghai Applied Protein Technology Co., Ltd. - 2013 to 2016
Teaching
Bioinformatics I - BIO211
Practical Bioinformatics – BIO206
High-Throughput Approaches and Systems Biology – BIO316
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Ph.D, National University of Singapore, 2013
B.Eng, Tongji University, 2007
Person Types
- Staff
Fingerprint
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Collaborations and top research areas from the last five years
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Jiangsu Province Higher Education Key Laboratory of Cell Therapy Nanoformulation (Construction)
Ruan, G., Lee, M. H., Wu, Q., Lu, T., Xu, P., Loo, S., Sun, Y., Kam, A., Liu, X., Wen, X., Zhang, J., Wang, M., Xu, M., Cheng, K., Zhang, X., Song, J., Guo, B., Wang, Y., Wang, J., Wu, S., Yang, J., Fu, L., Zhang, J., Qiao, Y., Chen, Y., Li, T., Huang, D., Gu, J., Zhan, T., Wan, Y., He, Z., Cheng, Y., Leng, J., Qi, M., Ho, J., Sun, Y., Zhang, N., Soe, H. M. S. H., Ling, C. & Zhou, H.
1/07/24 → 30/06/27
Project: Governmental Research Project
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Research on mitigating cold-protein problem in deep learning-based drug hits virtual screening models
Huang, D., Liu, X., Li, T., Hao, Y., Wang, T., Zha, H., Li, B. & Chen, Y.
1/09/23 → 31/08/26
Project: Governmental Research Project
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Developing a protein/pocket structure-aware deep learning approach for virtual screening and de novo drug design
1/01/23 → 31/12/25
Project: Internal Research Project
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SIP High-quality Innovation Platform for chronic diseases
Fu, L., Zhang, X., Liu, X., Wang, R., Li, Y., Gu, J., Ruan, G., Chen, J., Zhang, J., Lee, M. H., Wang, Y., Chen, Y., Guo, J., Wang, Y., Hong, M., Yue, Y., Guo, H., Xu, H., Yang, D. & Cheng, J.
1/09/22 → 30/08/25
Project: Governmental Research Project
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Developing a Semi-Supervised Approach Using a PU-Learning-Based Data Augmentation Strategy for Multitarget Drug Discovery
Hao, Y., Li, B., Huang, D., Wu, S., Wang, T., Fu, L. & Liu, X., Aug 2024, In: International Journal of Molecular Sciences. 25, 15, 8239.Research output: Contribution to journal › Article › peer-review
Open Access -
The Role and Clinical Relevance of Glycolysis-Associated Genes on Immune Infiltration in Hepatocellular Carcinoma
Li, J., Su, P., Li, T., Hao, Y., Wang, T., Fu, L. & Liu, X., 2024, In: Journal of Cellular Biochemistry. e30620.Research output: Contribution to journal › Article › peer-review
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A Bayesian-based Approach for Identification of Potential Protein Biomarkers in Hepatocellular Carcinoma: 15th International Conference on Bioinformatics and Biomedical Technology, ICBBT 2023
Zhu, K., Li, J., Chen, B. & Liu, X., 26 May 2023, 2023 15th International Conference on Bioinformatics and Biomedical Technology, ICBBT 2023. Association for Computing Machinery, p. 110-119 10 p. (ACM International Conference Proceeding Series).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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Evaluating the Transferability of Deep Learning-Based Drug-Kinase Interaction Prediction Models: 15th International Conference on Bioinformatics and Biomedical Technology, ICBBT 2023
Hao, Y., Zhu, Y. & Liu, X., 26 May 2023, ICBBT '23: Proceedings of the 2023 15th International Conference on Bioinformatics and Biomedical Technology. Association for Computing Machinery, p. 243-248 6 p. (ACM International Conference Proceeding Series).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
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A Graph Convolution-Transformer Neural Network for Drug-Target Interaction Prediction
Wang, T. & Liu, X., 27 May 2022, ICBBT 2022 - Proceedings of 2022 14th International Conference on Bioinformatics and Biomedical Technology. Association for Computing Machinery, p. 145-150 6 p. (ACM International Conference Proceeding Series).Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review
Activities
- 1 Editorial work
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Journal of Cellular Biochemistry (Journal)
Xin Liu (Member of editorial board)
2020 → …Activity: Peer-review and editorial work of publications › Editorial work