Dr Maya Topf
Reader in Computational Biology
tel: +44 (0)20 7079 0886
About Dr Maya Topf
- Our research is focused on the development of computational methods that combine experimental data with bioinformatics and modelling techniques to characterise the structure of macromolecular assemblies. The structural models are further analysed to understand the dynamics and effect of mutations on function thereby helping to design new experiments.
The group is particularly interested in applying these methods using data from cryo-electron microscopy and mass spectrometry. In collaboration with experimentalists, we currently focus on these systems: Herpes viruses, bacterial secretion systems, and ligand-gated ion channels.
Selected recent publications
- Pandurangan et al. (2014) Combined approaches to flexible fitting and assessment in virus capsids undergoing conformational change. J Struct Biol 185:427–39.
- Clare et al. (2012) ATP-triggered molecular mechanics of the chaperonin GroEL. Cell 149:113-23.
- Pandurangan and Topf (2012) RIBFIND: a web server for identifying rigid bodies in protein structures and to aid flexible fitting into cryo EM maps. Bioinformatics 28:2391-3
- Vasishtan and Topf (2011) Scoring functions for cryoEM density fitting. J Struct Biol 174:333-43.
- Members of the Topf Lab teach on these courses and workshops:
- MSc Bioinformatics and Systems Biology: Statistics (module organiser), Structural Bioinformatics
- : course for MRes and PhD students
- EMBO Practical Course on image processing for cryo-electron microscopy