RCNPRED: prediction of the residue co-ordination numbers in proteins.
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.


BACKGROUND
Freely available to non-commercial users at http://prion.biocomp.unibo.it/rcnpred.html.
Fariselli
P
P
CIRB Biocomputing Unit, Department of Biology, University of Bologna, via Irnerio 42, 40126 Bologna, Italy. piero@lipid.biocomp.unibo.it
Casadio
R
R
D016208:Databases, Factual; D016571:Neural Networks, Computer; D011506:Proteins / Q000737:chemistry*; D012984:Software
D011506:Proteins