Zainab Noor

Contact Details

Department of Chemistry and Biomolecular Sciences,
Faculty of Science and Engineering
Macquarie University
Sydney NSW 2109 Australia
Phone: +61 (2) 9850 8276
Email address:


Zainab is a Ph.D. student in the Department of Chemistry and Biomolecular Sciences (Bioinformatics group) at Macquarie University. She is involved in programming-based mass spectrometry analysis of data generated through data-dependent acquisition (DDA) and data-independent acquisition (DIA) approaches related to colorectal cancer. More specifically, she is dealing with the customization of DDA based spectral libraries to be used in DIA data analysis for biomarker discovery. Previously, she has been working in the area of protein structure and function analysis during her bachelors and masters’ studies. She worked on identifying novel potent drug-like compounds against histone deacetylases proteins by employing in silico drug designing techniques.

Academic history

  • PhD in Bioinformatics from CBMS, Macquarie University, Australia (in progress)
  • MPhil in Bioinformatics from Quaid-i-Azam University, Pakistan
  • Bachelor in Bioinformatics from International Islamic University, Pakistan


  • Raza, S.I., Navid, A.K., Noor, Z., Shah, K., Dar, N.R., Ahmad, W. and Rashid, S., 2017. GLY67ARG substitution in RSPO4 disrupts the WNT signaling pathway due to an abnormal binding pattern with LGRs leading to anonychia. RSC Advances, 7(28), pp.17357-17366.
  • Noor, Z., Afzal, N. and Rashid, S., 2015. Exploration of novel inhibitors for class I histone deacetylase isoforms by QSAR modeling and molecular dynamics simulation assays. PloS one, 10(10), p.e0139588.
  • Kanwal, S., Ali, U. and Khan, M.I., 2012. BioMatriX: Sequence analysis, structure visualization, phylogenetics and linkage analysis workbench. African Journal of Biotechnology, 11(34), pp.8414-8416.

Research Interests

  • Mass Spectrometry – based Proteomics Data Analysis
  • Protein Structure and Function Analysis
  • Computer-Aided Drug Designing
  • Data science