title: 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 of 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 scores precomputed for the known domain groups in a database versus database comparison. Applications to the prediction of function are discussed.
authors.affiliation: Protein Structure and Function Group, International Centre for Genetic Engineering and Biotechnology, 34012 Trieste, Italy.
authors.forename: J
authors.initials: J
authors.lastname: Murvai
authors.forename: K
authors.initials: K
authors.lastname: Vlahovicek
authors.forename: C
authors.initials: C
authors.lastname: Szepesvári
authors.forename: S
authors.initials: S
authors.lastname: Pongor
mesh_terms: D019295:Computational Biology / Q000379:methods*; D016208:Databases, Factual; D016571:Neural Networks, Computer; D017434:Protein Structure, Tertiary / Q000502:physiology*; D020539:Sequence Analysis, Protein / Q000379:methods*