138 search results - page 2 / 28 » Learning Models for Aligning Protein Sequences with Predicte... |
CIBCB
2005
IEEE
13 years 10 months ago
2005
IEEE
— Part of the challenge of modeling protein sequences is their discrete nature. Many of the most powerful statistical and learning techniques are applicable to points in a Euclid...
NAR
2007
13 years 4 months ago
2007
Multiple sequence alignments are essential in homology inference, structure modeling, functional prediction and phylogenetic analysis. We developed a web server that constructs mu...
BMCBI
2006
13 years 5 months ago
2006
Background: The accuracy of protein secondary structure prediction has steadily improved over the past 30 years. Now many secondary structure prediction methods routinely achieve ...
NAR
2008
13 years 4 months ago
2008
Multiple sequence alignments are essential in computational sequence and structural analysis, with applications in homology detection, structure modeling, function prediction and ...
BMCBI
2011
12 years 12 months ago
2011
Background: Accurate identification of protein domain boundaries is useful for protein structure determination and prediction. However, predicting protein domain boundaries from a...