Limbo is a position specific prediction algorithm for identifying chaperone binding sites in proteins. It is based on a position-specific scoring matrix (PSSM) trained from in vitro peptide binding data and structural modelling. The applications for Limbo include:
- Predicting mutational changes affecting chaperone binding.
- Certain disease mutations related to modified chaperone binding can be detected
- Design of protein-fusions to increase solubility of proteins
Image: the peptide binding domain of DnaK (blue) in complex with a substrate peptide (orange).
The current release of Limbo predicts exclusively for the bacterial Hsp70 homolog DnaK.