NR ADWD
AU Fariselli,P.; Casadio,R.
TI RCNPRED: prediction of the residue co-ordination numbers in proteins.
QU Bioinformatics 2001 Feb; 17(2): 202-4
PT journal article
AB The RCNPRED server implements a neural network-based method to predict the co-ordination numbers of residues starting from the protein sequence. Using evolutionary information as input, RCNPRED predicts the residue states of the proteins in the database with 69% accuracy and scores 12 percentage points higher than a simple statistical method. Moreover the server implements a neural network to predict the relative solvent accessibility of each residue. A protein sequence can be directly submitted to RCNPRED: residue co-ordination numbers and solvent accessibility for each chain are returned via e-mail. AVAILABILITY: Freely available to non-commercial users at http://prion.biocomp.unibo.it/rcnpred.html.
MH *Databases, Factual; *Neural Networks (Computer); Proteins/*chemistry; *Software; Support, Non-U.S. Gov't
AD CIRB Biocomputing Unit, Department of Biology, University of Bologna, via Irnerio 42, 40126 Bologna, Italy. piero@lipid.biocomp.unibo.it
SP englisch
PO England