Sciweavers

113 search results - page 12 / 23
» Fast and Accurate Alignment of Multiple Protein Networks
Sort
View
BMCBI
2007
142views more  BMCBI 2007»
14 years 9 months ago
Improving model construction of profile HMMs for remote homology detection through structural alignment
Background: Remote homology detection is a challenging problem in Bioinformatics. Arguably, profile Hidden Markov Models (pHMMs) are one of the most successful approaches in addre...
Juliana S. Bernardes, Alberto M. R. Dávila,...
BMCBI
2006
172views more  BMCBI 2006»
14 years 9 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 ...
BMCBI
2011
14 years 4 months ago
DoBo: Protein domain boundary prediction by integrating evolutionary signals and machine learning
Background: Accurate identification of protein domain boundaries is useful for protein structure determination and prediction. However, predicting protein domain boundaries from a...
Jesse Eickholt, Xin Deng, Jianlin Cheng
83
Voted
BMCBI
2006
92views more  BMCBI 2006»
14 years 9 months ago
A jumping profile Hidden Markov Model and applications to recombination sites in HIV and HCV genomes
Background: Jumping alignments have recently been proposed as a strategy to search a given multiple sequence alignment A against a database. Instead of comparing a database sequen...
Anne-Kathrin Schultz, Ming Zhang, Thomas Leitner, ...
BMCBI
2010
103views more  BMCBI 2010»
14 years 9 months ago
MTRAP: Pairwise sequence alignment algorithm by a new measure based on transition probability between two consecutive pairs of r
Background: Sequence alignment is one of the most important techniques to analyze biological systems. It is also true that the alignment is not complete and we have to develop it ...
Toshihide Hara, Keiko Sato, Masanori Ohya