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XieLab · Faculty of Synthetic Biology · SUAT

Engineering the microbiome–metabolism interface

We connect gut microbial ecology, host tissues and computational design to discover mechanisms and build measurable interventions for metabolic health.

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Gut microbiome & postbioticsMuscle–adipose crosstalkTrace-mineral biologyMulti-omics & AI tools

Research programmes

Three connected programmes move from biological observation to causal mechanism and then to an intervention that can be engineered and translated.

Abstract gut microbiome network

Microbiome–host systems

Map microbial communities, metabolites and host responses in metabolic disease, then identify actionable postbiotic signals.

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Abstract muscle and adipose tissue illustration

Tissue metabolism

Understand how skeletal muscle and adipose stem-cell programmes communicate across organs during ageing, injury and metabolic stress.

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Abstract trace element and cuproptosis illustration

Trace elements & computation

Combine copper, iron and redox biology with machine learning, screening and multi-omics to design safer interventions.

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Latest information

Selected announcements, papers and lab milestones. Visit News for the archive.

Copper biology and cuproptosis review published in Science Bulletin

Our team and collaborators synthesise emerging links between trace metals, cell death and disease biology. Institutional announcement →

Postbiotics research connects microbial metabolites to thermogenesis

The study reports IAA–AMPK signalling as a route from engineered microbial products to improved metabolic physiology. Article →

Professor Liwei Xie joins SUAT Faculty of Synthetic Biology

The new lab programme brings together microbiome–host interactions, tissue metabolism and computational design. Profile →

Explore XieLab
News archive →Meet the team →Contact the lab →

Open tools from the lab

Reusable web tools turn our research workflows into practical infrastructure for students and collaborators.

EasyMultiProfiler Web interface

EasyMultiProfiler-Web

Browser-based multi-omics analysis with teaching workflows and GitHub-ready exports.

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DeepScreening interface

DeepScreening

Deep-learning assisted virtual screening for small-molecule discovery.

Open tool →
TCMIO interface

TCMIO

Explore traditional Chinese medicine ingredients, targets and interactions.

Open tool →

Build the next experiment with us

We welcome curious students, postdoctoral researchers and collaborators who want to connect biology with computation.

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Welcome to Xie Lab

Research Group for Gut Microbiome and Health (RGGMH) at Guangdong Institute of Microbiology was established by Dr. Liwei Xie and funded by grants from Guangdong Academy of Sciences and Guangdong Institute of Microbiology. Dr. Liwei Xie was trained in the area of both Molecular Nutrition and Computational Biology in United States in 2007-2017. The research group focuses on the AI-algorithm development and application in drug design, functional and health benefit small molecules and nature products design and screening, targeting gut microbial dysbiosis-associated metabolic diseases, such as Type 2 diabetes (T2D) and obesity. Our group has state of art research facilities including high-throughput screening and computation system, single cell screening, isolation and sequencing system, health and disease related transgenic mice and gut microbiome models. We aim to provide basic biomedical training not only for graduate students and postdoctoral researchers, but also for clinical students and doctors with respect to the translational studies.