I-Mutant Suite
Predictors of effects of single point protein mutation

Last Update 05/01/07


I-Mutant Suite:   Predictors of effects of single point protein mutation

I-Mutant Suite web server gives the possibility to perform predictions of protein stability changes upon mutation starting from sequence or structural information when available.Predictions from protein sequence is the default option.Morever the server gives to possibility to predict mutations affecting human healt. Users can choice the option he is interested only clicking on the opportune radio button. (Fig.1).

A Test Case, session 1

Suppose that the task is to predict the Free Energy change value (DDG) and its Sign (Increase S , Decrease D ) via Binary prediction starting from the protein sequence;as example change Glu (E) 200 into Lys (K) in the Prion Protein [PRIO_HUMAN] at pH 7 and Temperature equal to 25 C (Fig.2). Moreover users can perform predictions via a Ternary classificator that has an extra class, namely Neutral, that refers to small DDG values changes upon (wt/new) single point mutations. The range of DDG values for a Neutral mutation classification is : -0.5=<DDG=<0.5, while changes < -0.5 are classified as Large Decrease and changes > 0.5 are classified as Large Increase.


Input

The following operations are required:

  • Fill in the Protein Sequence box with the one letter code sequence of your protein.
  • In the Position box insert the number of the residue that undergoes mutation.
  • In New Residue insert the required one letter code mutation.
  • The boxes pH and Temperature can be filled with the experimental conditions at which the experiment is simulated.
  • In the Prediction box you can choice between Binary (default) or Ternary classification

The output of the predictor will be send to the your e-mail address, if required, or stored in a temporary web page.

A Test Case, session 2

Suppose that the task is to predict the Free Energy change value (DDG) and its Sign (Increase S , Decrease D ) via Binary or Ternary prediction starting from the protein structure;as example change Glu (E) 200 into Lys (K) in the Prion Protein [PRIO_HUMAN] at pH 7 and Temperature equal to 25 C.Moreover users can perform predictions via a Ternary classificator that has an extra class, namely Neutral, that refers to small DDG values changes upon (wt/new) single point protein mutations. The range of DDG values for a Neutral mutation classification is : -0.5=<DDG=<0.5, while changes < -0.5 are classified as Large Decrease and changes > 0.5 are classified as Large Increase.(Fig.3).

Input

The following operations are required:

  • Fill in the PDB Code box with the PDB code of your protein.
  • Otherwise Upload your local PDB file
  • In Chain box, put the PDB chain label , if necessary.
  • In the Position box insert the PDB number of the residue that undergoes mutation..
  • In New Residue insert the required one letter code mutation
  • The boxes pH and Temperature can be filled with the experimental conditions at which the experiment is simulated.
  • In the Prediction box you can choice between Binary (default) or Ternary classification

The output of the predictor will be send to the your e-mail address, if required, or stored in a temporary web page.

A Test Case, session 3

Suppose that the task is to predict if a single point mutation affect Human healt, starting from the sequence information alone or ,if available, starting from sequence and evolutive information(help);as example change Glu (E) 200 into Lys (K) in the Prion Protein [PRIO_HUMAN] (Fig.4).


Input

The following operations are required:

  • Fill in the Protein Sequence box with the one letter code sequence of your protein.
  • In the Position box insert the number of the residue that undergoes mutation..
  • In New Residue insert the required one letter code mutation.
  • In the Prediction box you can choice between Sequence (default) or Sequence and Profile classification

The output of the predictor will be send to the your e-mail address, if required, or stored in a temporary web page.