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

Bioinformatics

Volumn 17, Issue 2, 2001, Pages 202-203

  Fariselli, P ^a   Casadio, R ^a  

^a UNIVERSITY OF BOLOGNA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

AMINO ACID; PROTEIN; SOLVENT;

ACCURACY; AMINO ACID SEQUENCE; ARTICLE; ARTIFICIAL NEURAL NETWORK; CONTROLLED STUDY; COORDINATION; DATA BASE; EVOLUTION; INFORMATION; INTERNET; PREDICTION; PRIORITY JOURNAL; STATISTICAL ANALYSIS;

EID: 0035102734     PISSN: 13674803     EISSN: 13674811     Source Type: Journal    
DOI: 10.1093/bioinformatics/17.2.202     Document Type: Article

References (9)

1. Application of multiple sequence alignment profiles to improve protein secondary structure prediction
2. Neural network based predictor of residue contacts in proteins
3. Prediction of the number of residue contacts in Proteins
4. Progress in fold recognition
5. Improving contact predictions by the combination of correlated mutations and other sources of sequence information
6. Ab initio folding of proteins using restraints derived from evolutionary information
7. Conservation and prediction of solvent accessibility in protein families
8. The bottom line for prediction of residue solvent accessibility
9. The prediction of protein contacts from multiple sequence alignments