In order to identify potential functional effects of mutations in proteins, we have devised a platform for
comprehensive and systematic in silico mutagenesis analyses. We use two structural bioinformatics approaches,
SDM and mCSM, to evaluate the impacts of mutations on protein stability and interactions.
This study highlights the advantage of using fast and reliable computational approaches to better understand protein structure and function. The predictions were compiled in a relational database (TROMBONE), accessible via a user-friendly web interface. These will facilitate the engineering of Botulinum for therapeutic use.
|SDM||SDM Web server: for predicting the impact of mutations in protein stability|
|mCSM||mCSM Web server: for predicting the impact of mutations in protein stability and affinity of protein-protein and protein-DNA complexes|