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BMCBI
2004
141views more  BMCBI 2004»
13 years 5 months ago
Estimates of statistical significance for comparison of individual positions in multiple sequence alignments
Background: Profile-based analysis of multiple sequence alignments (MSA) allows for accurate comparison of protein families. Here, we address the problems of detecting statistical...
Ruslan Sadreyev, Nick V. Grishin
BMCBI
2008
138views more  BMCBI 2008»
13 years 5 months ago
Using neural networks and evolutionary information in decoy discrimination for protein tertiary structure prediction
Background: We present a novel method of protein fold decoy discrimination using machine learning, more specifically using neural networks. Here, decoy discrimination is represent...
Ching-Wai Tan, David T. Jones
CIBCB
2007
IEEE
13 years 9 months ago
Prediction of Enzyme Catalytic Sites from Sequence Using Neural Networks
The accurate prediction of enzyme catalytic sites remains an open problem in bioinformatics. Recently, several structure-based methods have become popular; however, few robust seq...
Swati Pande, Amar Raheja, Dennis R. Livesay
BMCBI
2006
117views more  BMCBI 2006»
13 years 5 months ago
Incorporating background frequency improves entropy-based residue conservation measures
Background: Several entropy-based methods have been developed for scoring sequence conservation in protein multiple sequence alignments. High scoring amino acid positions may corr...
Kai Wang, Ram Samudrala
BMCBI
2006
172views more  BMCBI 2006»
13 years 5 months ago
Prediction of cis/trans isomerization in proteins using PSI-BLAST profiles and secondary structure information
Background: The majority of peptide bonds in proteins are found to occur in the trans conformation. However, for proline residues, a considerable fraction of Prolyl peptide bonds ...
Jiangning Song, Kevin Burrage, Zheng Yuan, Thomas ...