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» Predicting Peroxisomal Proteins
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RECOMB
2003
Springer
14 years 8 months ago
A multi-expert system for the automatic detection of protein domains from sequence information
We describe a novel method for detecting the domain structure of a protein from sequence information alone. The method is based on analyzing multiple sequence alignments that are ...
Niranjan Nagarajan, Golan Yona
BIBE
2006
IEEE
112views Bioinformatics» more  BIBE 2006»
14 years 2 months ago
Finding Correlations in Functionally Equivalent Proteins by Integrating Automated and Visual Data Exploration
The analysis of alignments of functionally equivalent proteins can reveal regularities such as correlated positions or residue patterns which are important to ensure a specific f...
Daniel A. Keim, Daniela Oelke, Royal Truman, Klaus...
EVOW
2004
Springer
13 years 12 months ago
Evolving Regular Expression-Based Sequence Classifiers for Protein Nuclear Localisation
A number of bioinformatics tools use regular expression (RE) matching to locate protein or DNA sequence motifs that have been discovered by researchers in the laboratory. For exam...
Amine Heddad, Markus Brameier, Robert M. MacCallum
IPPS
2006
IEEE
14 years 2 months ago
A method to improve structural modeling based on conserved domain clusters
—Homology modeling requires an accurate alignment between a query sequence and its homologs with known three-dimensional (3D) information. Current structural modeling techniques ...
Fa Zhang, Lin Xu, Bo Yuan
BMCBI
2007
117views more  BMCBI 2007»
13 years 8 months ago
Supervised multivariate analysis of sequence groups to identify specificity determining residues
Background: Proteins that evolve from a common ancestor can change functionality over time, and it is important to be able identify residues that cause this change. In this paper ...
Iain M. Wallace, Desmond G. Higgins