Features
INPS ia a predictor for annotating the effect of non-synonymous mutations on the protein stability from its sequence.
INPS is based on SVM regression and it is trained to predict the thermodynamic free energy change upon single-point variations in protein sequences.
INPS performs similarly to the state-of-the-art methods based on protein structure when tested in cross-validation on a non-redundant dataset.
INPS performs very well also on a newly generated dataset consisting of a number of variations occurring in the tumor suppressor protein p53.
We suggest that INPS is a tool suited for computing the effect of non-synonymous polymorphisms on protein stability when the protein structure is not available.
Input
To start using INPS you simply need to upload FASTA sequence and mutation files and press the "Start prediciton" button.
The server accepts a single FASTA sequence at least 30 residue long.
Output
There are two main sections in the result page:
- Sequence view:
general information about the protein, including PDB ID and the protein length.
Residues that are involved in prediction are highlighted in blue in a sequence view panel. - Detailed mutation report:
On the top-left of the table, there is a button to download the results in a text format.
Below, there is the prediction of Stability change (DDG) in kcal/mol for each submitted mutation.