Protein Quality Predictors

The prediction of the structure of a protein sequence is a diffcult problem. We have developed a number of methods to faciliate and automate the current prediction schemes. These methods use machine-learning techniques to assign different types of quality measures to protein models (ProQ) or to parts of protein models (ProQres).

ProQ - is a neural network based predictor that based on a number of structural features predicts the quality of a protein model. For more details see: Can correct protein models be identified? Björn Wallner and Arne Elofsson (2003). Protein Sci. 12(5):1073-1086. PDF. Addtional information and the web server can be found here.

ProQres - is a neural network based predictor that based on a number of structural features predicts the quality of different parts of protein model. For more details see: Identification of correct regions in protein models using structural, alignment and consensus information. Björn Wallner and Arne Elofsson (2005). Protein Sci., 15(4):900-913 PDF. A web server can be found here and a linux executable here