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Bioinformatics Vol. 17 no. 2 2001
Pages 202-204
© 2001 Oxford University Press

Applications Note

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

Piero Fariselli and Rita Casadio *

CIRB Biocomputing Unit, Department of Biology, University of Bologna, via Irnerio 42, 40126 Bologna, Italy

Received on July 20, 2000 ; revised on September 19, 2000 ; accepted on October 13, 2000

Summary: 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

Contact: casadio{at}alma.unibo.it; piero{at}lipid.biocomp.unibo.it

* To whom the correspondence should be addressed.


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