Secondary structure prediction algorithm evaluation

An Evaluation Of Protein Secondary Structure Prediction Algorithms... 

The present analysis might give rise to a somewhat pessimistic view of the effectiveness of protein secondary structure prediction algorithms. In fact, with the increasing number of proteins with known three-dimensional structure, constant re-evaluation of performance must take place in order to ascertain the validity of the methods. We note that the methods do not have the predictive power claimed by its authors when analyzed consistently using the 148 proteins selected in this study. Moreover, the situation is even worse for the Mathews correlation coefficient, which indicates that the predictions are poorly correlated with the actual structure. 

---