NUS Graduate School for Integrative Sciences and Engineering (NGS)

Open Position

Computational Lipid Biology, Lipidomics/Bioinformatics

 

While many lipid metabolic pathways are well conserved in function from yeast to man, it is not trivial to search for lipid enzymes, modulators of enzymes or even lipid effectors based on protein sequence information alone. For example, there is virtually no sequence similarity between phosphatidylinositol transfer proteins in yeast and metazoans. As a result, in spite of the critical role of lipids in diseases like neurodegenerative disorders, advances in lipid biology has not benefitted as much from the rapid accumulation of genomic and proteomic data.

 

Students who have a good background in computer science, biophysics, and/or biochemistry are especially welcome to join our team.

 

Please visit the URL below for a description of a related project, where we concentrate on developing general computational techniques for inferring protein function and protein complexes when sequence similarity information is unavailable.

www.comp.nus.edu.sg/~wongls/projects/functionprediction/index.html

We hope to address this lack of powerful tools for lipid biology by developing computational techniques to (i) predict proteins interacting with lipids, (ii) predict other proteins involved in lipid metabolisms, and (iii) infer the regulation and interaction networks between these proteins and various lipids.