Personal details

Name
Dr Zhenling Cui
Position(s)
Postdoctoral Research Fellow
Science and Engineering Faculty,
School of Biology & Environmental Science
IHBI Membership
Institute of Health Biomedical Innovation (IHBI),
IHBI Science and Engineering Projects,
IHBI Chem Physics Mech Engineering - CDA
Discipline *
Biochemistry and Cell Biology, Medicinal and Biomolecular Chemistry, Industrial Biotechnology
Phone
+61 7 3138 4555
Email
Location
View location details (QUT staff and student access only)
Qualifications

PhD (University of Queensland)

* Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2008

Biography

Zhenling Cui completed her Ph.D. in Chemical and Biological Sciences at the University of Queensland under the supervision of Professor Kirill Alexandrov in 2016. She received Dean’s award for outstanding higher Degree by research and got the opportunity to extend her research expertise in the same group. She joined QUT in 2019.

Zhenling’s research interest lies in the field of protein engineering, synthetic biology and genetic code expansion technology. Her previous research had focused on exploiting redundancy of the genetic code in order to productively hijack the natural protein translation machinery, with the proof of concept centred on site-selective non-natural amino acids incorporation in vitro. She had made significant contributions primarily to understanding the role of synthetic transfer RNAs (tRNAs) and their usage in terms of adapting the connection between sense codons and various unnatural amino acids with bio-orthogonal groups for future application in producing cyclized peptides, antibody drug conjugates (ADCs) and probes for structural conformation analysis.

Zhenling’s current research focus on 1) establishing an in vitro display platform with extended chemistry beyond the 20 canoncial amino acids for discovery of new constrained peptides; 2) application of the developed sense codon reassignment methodology from E. coli to a eukaryotic cell free translation system, which will serve as an essential platform to produce more complicated proteins including GPCRs with useful handles for various future applications, such as for biosensor construction.

 

This information has been contributed by Dr Zhenling Cui.