His primary research focuses on bioinformatics, computational biology, and artificial intelligence biology. His research primarily revolves around the analysis of industrial Bio-big data, involving the development of core databases, algorithms, and tools. He has established a technological framework for industrial biology-related data, creating a series of exclusive industrial biotechnology databases such as the pUGTdb (Plant UDP-dependent Glycosyltransferase Database), P450 Enzyme Database, and ERMer (E.coli Regulation Miner) among others.
He has developed various web platforms including the automated editing sequence design platform(AutoESD), the Cloud-based platform for Analysis and Visualization of mEtabolic pathway (CAVE), and the next-generation protein enzyme number prediction AI tool (ECRECer). In recent years, he has published over 40 articles in high-impact domestic and international journals such as Nature Genetics, Molecular Plant, Nucleic Acids Research, Science Advances, and Research, accumulating nearly 2000 citations and obtaining over 10 software copyrights.
Dr. LIAO is a member of the Youth Innovation Promotion Association of the Chinese Academy of Sciences, holds a distinguished research position at the Chinese Academy of Sciences, and was selected into the fourth “Ke Yuan Ming Jiang” team at the Chinese Academy of Sciences. He has led multiple national and provincial-level fund projects, serves as a young editor for 'iMeta' and 'Engineering Microbiology,' and is a committee member and deputy secretary-general of CSIAM Activity Group on Mathematical Life Science.
1.Educational Background
2. Professional Experience
In recent 2 years
1. Liu, Y., Wang, Q., Liu, X., Cheng, J., Zhang, L., Chu, H., Wang, R., Li, H., Chang, H., Ahmed, N., Wang, Z., Liao, X. and Jiang, H. (2023) pUGTdb: A comprehensive database of plant UDP-dependent glycosyltransferases. Mol Plant, 16, 643-646. (IF=27.5)
2. Mao, Z., Yuan, Q., Li, H., Zhang, Y., Huang, Y., Yang, C., Wang, R., Yang, Y., Wu, Y., Yang, S., Liao, X. and Ma, H. (2023) CAVE: a cloud-based platform for analysis and visualization of metabolic pathways. Nucleic Acids Res. (IF=14.9)
3. Shi, Z., Deng, R., Yuan, Q., Mao, Z., Wang, R., Li, H., Liao, X. and Ma, H. (2023) Enzyme Commission Number Prediction and Benchmarking with Hierarchical Dual-core Multitask Learning Framework. Research, 6, 0153. (IF=11)
4. Yang, Y., Mao, Y., Wang, R., Li, H., Liu, Y., Cheng, H., Shi, Z., Wang, Y., Wang, M., Zheng, P., Liao, X. and Ma, H. (2022) AutoESD: a web tool for automatic editing sequence design for genetic manipulation of microorganisms. Nucleic Acids Res, 50, W75-W82. (IF=14.9)
5. Mao, Z., Wang, R., Li, H., Huang, Y., Zhang, Q., Liao, X. and Ma, H. (2022) ERMer: a serverless platform for navigating, analyzing, and visualizing Escherichia coli regulatory landscape through graph database. Nucleic Acids Research, 50, W298-W304. (IF=14.9)
6. Liu, Y., Wang, R., Liu, J., Lu, H., Li, H., Wang, Y., Ni, X., Li, J., Guo, Y., Ma, H., Liao, X. and Wang, M. (2022) Base editor enables rational genome-scale functional screening for enhanced industrial phenotypes in Corynebacterium glutamicum. Sci Adv, 8, eabq2157. (IF=13.6)
7. Liao, X., Ma, H. and Tang, Y.J. (2022) Artificial intelligence: a solution to involution of design–build–test–learn cycle. Current opinion in biotechnology, 75, 102712. (IF=7.7)
Participated in/undertaken more than 10 national and provincial level projects, including the National key research and development plans, Tianjin Synthetic Biotechnology Innovation Capacity Improvement Project, Innovation fund of Haihe Laboratory of Synthetic Biology, etc.
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