AN UPDATE OF THE DEF DATABASE OF PROTEIN FOLD CLASS PREDICTIONS

An update is given on the Database of Expected Fold classes (DEF) that contains a collection of fold-class predictions made from protein seq uences and a mail server that provides new predictions for new sequenc es. To any given sequence one of 49 fold-classes is chosen to classify the structure related to the sequence with high accuracy. The updated prediction system is developed using data from the new version of the 3D-ALI database of aligned protein structures and thus is giving more reliable and more detailed predictions than the previous DEF system.