Unlock the cryptic chemistry of microbiota for drug discovery through AI and synthetic biology

Project ID: 2627Sci1002
Research Mentor: Professor LI, Philip Yong Xin
Contact Person: Professor LI, Philip Yong Xin
ABSTRACT

1. Background and Purpose
Our bodies are home to trillions of microbes that constantly “talk” to our cells using tiny chemical messages. However, most of these messages stay hidden in the lab, meaning we are missing out on a huge source of potential medicines. We combine artificial intelligence with synthetic biology to uncover these hidden signals and turn them into new, nature-inspired drugs.

2. Research Question
Our driving question is: How can we use AI to find, read, and improve these microbial messages for human health? We want to know which signals are most useful, how they affect our immune system, and how we can safely tweak them to work even better. Ultimately, we aim to make drug discovery faster, smarter, and more effective—by learning from the chemistry that nature already built inside us.

Click here to learn more about this project.

SKILLS & EXPERIENCE REQUIRED

Bioinformatics, molecular biology or analytical chemistry

 

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