Protein fold-class prediction server for sequences of unknown structure
reczko at web.de
Fri Mar 22 11:24:26 EST 2002
Synaptic is pleased to announce the avaliability
of the prediction server
Determination of expected protein folds - DEF Version 2.11
The DEF2-system (Determination of Expected Folds) performs
protein fold-class, approximate protein domain and
secondary-structure-composition predictions for
sequences of unknown structure.
The folds are classified into 48 fold classes.
The classes are defined in the 3D-ALI database of
Pascarella and Argos, Prot. Eng. 5:121-137 (1992)
The percentage of correct classifications into 48 classes
for 125 novel test proteins is 86.4 % (the DEF1 system was ~80%
correct classifying into 42 classes). The prediction of the 4 classes
for secondary-structure-composition is correct in 90.4 % of the
The DEF system is described in
Fold Class Prediction by Neural Networks
M. Reczko, H. Bohr, S. Subramaniam, S. Pamidighantam, and A.
In Protein Structure by Distance Analysis, Eds: H. Bohr and S. Brunak,
1994, IOS Press, Amsterdam, pp. 227-286.
The DEF data base of sequence based protein fold class predictions.
M. Reczko and H. Bohr.
Nucleic Acids Res. 1994 Sep;22(17):3616-9.
An update of the DEF database of protein fold class predictions.
M. Reczko, D. Karras and H. Bohr.
Nucleic Acids Res. 1997 Jan 1;25(1):235.
- Run DEF2 on your own system:
You can order the current version of DEF2 from Synaptic.
Send an email to mailto:synaptic_ltd at yahoo.de to get
information about the license fee.
More information about the Bio-www