Anisah Ghoorah

From March 2009 to December 2013, I worked in the Orpailleur research team at the Inria Nancy in France. I was an Inria PhD student from Mar 2009 to Sept 2012. I was a research and teaching assistant at the University of Lorraine (ex-Nancy 2) from Oct 2012 to Aug 2013. From Sept 2013 to Dec 2013 I was an Inria research engineer.

As of January 2014, I work as a lecturer in the Department of Computer Science and Engineering at the University of Mauritius.

Research Interests

  • Knowledge Discovery in Databases (KDD) of Structural Protein-Protein Interactions
  • Network Analysis of the Human Diseases
  • Classification of Protein 3D Structures

Research Projects

Ongoing Projects

  • A systematic identification and analysis of disease-related modules in the human protein-protein interaction network (Funded by MRC under URIGS)
    • Anisah Ghoorah (Principal Investigator), Shakuntala Baichoo, Oveeyen Moonian, Zahra Mungloo-Dilmohamud, Yasmina Jaufeerally-Fakim
  • Discovering relationships between diseases and genes using the human structural interactome and biological pathways (Funded by MRC under PGA)
    • Shivam Oogorah (PhD student at Univeristy of Mauritius), Anisah Ghoorah (Supervisor), Dave Ritchie (Assoc Supervisor)

Completed Projects

  • To appear...

Research Collaborations


PhD Thesis

Knowledge-based approaches for modelling the 3D structural interactome

Understanding how the protein interactome works at a structural level could provide useful insights into the mechanisms of diseases. Comparative homology modelling and ab initio protein docking are two computational methods for modelling the three-dimensional (3D) structures of protein-protein interactions (PPIs). Previous studies have shown that both methods give significantly better predictions when they incorporate experimental PPI information. However, in general, PPI information is often not available in an easily accessible way, and cannot be re-used by 3D PPI modelling algorithms. Hence, there is currently a need to develop a reliable framework to facilitate the reuse of PPI data. My PhD thesis presents a systematic knowledge-based approach for representing, describing and manipulating 3D interactions to study PPIs on a large scale and to facilitate knowledge-based modelling of protein-protein complexes.

PDF: A copy of my thesis and the presentation slides of my defence (4up).

Supervisors: Marie-Dominique Devignes, Malika Smail-Tabbone and Dave Ritchie.

Funding: Agence Nationale de la Recherche and Orpailleur research project.

Database & Software

  • Kbdock Server: a database of 3D protein interactions and binding sites.



† First-author





Lecture and Practical/Tutorial

Practical/Tutorial Only


Room 2.17, Phase 2
Faculty of Engineering
University of Mauritius
E-mail: a.ghoorah AT