Research Projects
AI-Driven Discovery of Small Molecule and Peptide Therapeutics for Cellular Rejuvenation


Programme(s) to which this project applies:
☑ MPhil/PhD ☒ MRes[Med] ☒ URIS

Aging is a primary risk factor for numerous devastating conditions. This project aims to discover novel geroprotectors and senotherapeutic agents by integrating cutting-edge artificial intelligence (AI) with high-throughput biological validation. We will utilize advanced machine-learning models trained on known bioactive molecules to scan immense chemical libraries and predict potent anti-aging compounds. Concurrently, computational predictions will be employed to design short, targeted peptides capable of modulating senescence or rejuvenation pathways with high specificity and low toxicity.

These in silico hits (both small molecules and peptides) will subsequently undergo rigorous experimental validation using our proprietary high-throughput TSC-STB cellular assay system. By combining AI-driven prediction with rapid phenotypic readouts, this project aims to pinpoint precise, human-validated therapeutics that can reprogram aged cells into a more youthful state, thereby mitigating the progression of major age-related diseases.

Dr Q Zhang, School of Biomedical Sciences

Qingqing Zhang is a Research Assistant Professor at the School of Biomedical Sciences at the University of Hong Kong. Qingqing Zhang received a Ph.D. from the Department of Obstetrics and Gynaecology at the University of Hong Kong. Dr. Zhang did her postdoc training for reproductive ageing and placental ageing at the Department of Obstetrics and Gynaecology, HKU.

 

Biography
HKU Scholars Hub
ORCID
zhangqq1@hku.hk

For more information or to express interest for this project, please email the supervisor or the specified contact point in the project description.  Interested candidates are advised to enclose with your email:

  1. your CV,
  2. a brief description of your research interest and experience, and
  3. two reference letters (not required for HKUMed UG students seeking MRes[Med]/URIS projects).

Information on the research programme, funding support and admission documentations could be referenced online at the Research Postgraduate Admissions website. General admission enquiries should be directed to rpgmed@hku.hk.

HKUMed MBBS students interested in the Master of Research in Medicine (MRes[Med]) programme may visit the programme website for more information.  

HKUMed UG students interested in the Undergraduate Research Internship Scheme (URIS) may visit the scheme’s website for more information. 

Research @ School of Biomedical Sciences