| Literature DB >> 11238082 |
Abstract
UNLABELLED: 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.Entities:
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Year: 2001 PMID: 11238082 DOI: 10.1093/bioinformatics/17.2.202
Source DB: PubMed Journal: Bioinformatics ISSN: 1367-4803 Impact factor: 6.937