Outputs (3)

Cryo‐EM structure of the octameric pore of Clostridium perfringens β‐toxin (2022)
Journal Article
Bruggisser, J., Iacovache, I., Musson, S. C., Degiacomi, M. T., Posthaus, H., & Zuber, B. (2022). Cryo‐EM structure of the octameric pore of Clostridium perfringens β‐toxin. EMBO Reports, 23(12), Article e54856. https://doi.org/10.15252/embr.202254856

Clostridium perfringens is one of the most widely distributed and successful pathogens producing an impressive arsenal of toxins. One of the most potent toxins produced is the C. perfringens β-toxin (CPB). This toxin is the main virulence factor of t... Read More about Cryo‐EM structure of the octameric pore of Clostridium perfringens β‐toxin.

Biobox: a toolbox for biomolecular modelling (2021)
Journal Article
Rudden, L. S., Musson, S. C., Benesch, J. L., & Degiacomi, M. T. (2022). Biobox: a toolbox for biomolecular modelling. Bioinformatics, 38(4), 1149-1151. https://doi.org/10.1093/bioinformatics/btab785

Motivation The implementation of biomolecular modelling methods and analyses can be cumbersome, often carried out with in-house software re-implementing common tasks, and requiring the integration of diverse software libraries. Results We present Bio... Read More about Biobox: a toolbox for biomolecular modelling.

Deep Learning Protein Conformational Space with Convolutions and Latent Interpolations (2021)
Journal Article
Ramaswamy, V. K., Musson, S. C., Willcocks, C. G., & Degiacomi, M. T. (2021). Deep Learning Protein Conformational Space with Convolutions and Latent Interpolations. Physical Review X, 11(1), Article 011052. https://doi.org/10.1103/physrevx.11.011052

Determining the different conformational states of a protein and the transition paths between them is key to fully understanding the relationship between biomolecular structure and function. This can be accomplished by sampling protein conformational... Read More about Deep Learning Protein Conformational Space with Convolutions and Latent Interpolations.