Tip! mCSM-membrane can be used with homology models. Try automated comparative modelling online with ModWeb and SwissModel.
Tip! Try using the key arrows in your keyboard or the buttons below to switch among the tips below.
mCSM-membrane is a user friendly web server that can be used to analyse the impacts of mutation on the stability of membrane protein and the likelihood of them being disease associated. It is a machine learning approach that uses graph-based structural signatures to train and test predictive models. mCSM-membrane represents a significant advance upon our current predictive platform, which has been built using globular soluble proteins, by allowing the analysis of the effects of mutations on membrane proteins. To analyse the effects of mutation on stability click in (1) in the navigation or in (2) to predict whether mutations are pathogenic or benign.
To run a single prediction for either stability effects or the likelihood of a mutation being pathogenic:
Your results (1) for a single mutation will be displayed once computations are completed. For predicting effects on stability,
the results will display the predicted change in stability upon mutation (ΔΔG in Kcal/mol). A negative value (and red writing) corresponds
to a mutation predicted as destabilising; while a positive sign (and blue writing) corresponds to a mutation
predicted as stabilising.
For predicting pathogenicity, mutations are labeled either as Pathogenic (in red writing) or Benign (in blue writing).
Complementary information also displayed include:
Your results for a list of mutations will be displayed in a table format with the following information:
In case you experience any trouble using mCSM-membrane or have any suggestions or comments, please do not hesitate in contacting us either via e-mail (1) or through the online form (2) .