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» Predicting protein functions with message passing algorithms
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ICDM
2009
IEEE
152views Data Mining» more  ICDM 2009»
15 years 4 months ago
SLIDER: Mining Correlated Motifs in Protein-Protein Interaction Networks
Correlated motif mining (CMM) is the problem to find overrepresented pairs of patterns, called motif pairs, in interacting protein sequences. Algorithmic solutions for CMM thereb...
Peter Boyen, Frank Neven, Dries Van Dyck, Aalt-Jan...
BMCBI
2005
162views more  BMCBI 2005»
14 years 9 months ago
Accelerated probabilistic inference of RNA structure evolution
Background: Pairwise stochastic context-free grammars (Pair SCFGs) are powerful tools for evolutionary analysis of RNA, including simultaneous RNA sequence alignment and secondary...
Ian Holmes
BMCBI
2006
108views more  BMCBI 2006»
14 years 9 months ago
Improved Chou-Fasman method for protein secondary structure prediction
Background: Protein secondary structure prediction is a fundamental and important component in the analytical study of protein structure and functions. The prediction technique ha...
Hang Chen, Fei Gu, Zhengge Huang
RECOMB
2009
Springer
15 years 10 months ago
Learning Models for Aligning Protein Sequences with Predicted Secondary Structure
Accurately aligning distant protein sequences is notoriously difficult. A recent approach to improving alignment accuracy is to use additional information such as predicted seconda...
Eagu Kim, Travis J. Wheeler, John D. Kececioglu
BMCBI
2006
129views more  BMCBI 2006»
14 years 9 months ago
Improved alignment quality by combining evolutionary information, predicted secondary structure and self-organizing maps
Background: Protein sequence alignment is one of the basic tools in bioinformatics. Correct alignments are required for a range of tasks including the derivation of phylogenetic t...
Tomas Ohlson, Varun Aggarwal, Arne Elofsson, Rober...