Prediction of Protein Functional Domains from Sequences Using Artificial Neural Networks
Abstract
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.
Footnotes
-
↵3 Corresponding author.
-
E-MAIL pongor{at}icgeb.trieste.it; FAX 39-040-226555.
-
Article and publication are at www.genome.org/cgi/doi/10.1101/gr.168701.
-
- Received October 23, 2000.
- Accepted April 13, 2001.
- Cold Spring Harbor Laboratory Press
