TY  - JOUR
A1  - Murvai, János
A1  - Vlahoviček, Kristian
A1  - Szepesvári, Csaba
A1  - Pongor, Sándor
T1  - Prediction of Protein Functional Domains from Sequences Using Artificial Neural Networks
Y1  - 2001/08/01 
JF  - Genome Research 
JO  - Genome Research 
SP  - 1410 
EP  - 1417 
DO  - 10.1101/gr.168701 
VL  - 11 
IS  - 8 
UR  - http://genome.cshlp.org/content/11/8/1410.abstract 
N2  - An artificial neural network (ANN) solution is described for the recognition of domains in protein sequences. A query sequence is first compared to a reference database of domain sequences by use ofBLAST and the output data, encoded in the form of six parameters, are forwarded to feed-forward artificial neural networks with six input and six hidden units with sigmoidal transfer function. The recognition is based on the distribution of BLASTscores precomputed for the known domain groups in a database versus database comparison. Applications to the prediction of function are discussed. 
ER  -