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» CONTRAlign: Discriminative Training for Protein Sequence Ali...
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BMCBI
2005
87views more  BMCBI 2005»
13 years 5 months ago
ProfNet, a method to derive profile-profile alignment scoring functions that improves the alignments of distantly related protei
Background: Profile-profile methods have been used for some years now to detect and align homologous proteins. The best such methods use information from the background distributi...
Tomas Ohlson, Arne Elofsson
BMCBI
2007
142views more  BMCBI 2007»
13 years 5 months ago
Predicting and improving the protein sequence alignment quality by support vector regression
Background: For successful protein structure prediction by comparative modeling, in addition to identifying a good template protein with known structure, obtaining an accurate seq...
Minho Lee, Chan-seok Jeong, Dongsup Kim
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
JCB
2002
116views more  JCB 2002»
13 years 5 months ago
A Novel Approach to Remote Homology Detection: Jumping Alignments
We describe a new algorithm for protein classi cation and the detection of remote homologs. The rationale is to exploit both vertical and horizontal information of a multiple alig...
Rainer Spang, Marc Rehmsmeier, Jens Stoye
TCBB
2008
138views more  TCBB 2008»
13 years 5 months ago
PairProSVM: Protein Subcellular Localization Based on Local Pairwise Profile Alignment and SVM
The subcellular locations of proteins are important functional annotations. An effective and reliable subcellular localization method is necessary for proteomics research. This pap...
Man-Wai Mak, Jian Guo, Sun-Yuan Kung