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» Predicting Peroxisomal Proteins
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ISMB
1998
13 years 9 months ago
A Hidden Markov Model for Predicting Transmembrane Helices in Protein Sequences
A novel method to model and predict the location and orientation of alpha helices in membrane- spanning proteins is presented. It is based on a hidden Markov model (HMM) with an a...
Erik L. L. Sonnhammer, Gunnar von Heijne, Anders K...
ESWA
2007
127views more  ESWA 2007»
13 years 8 months ago
Clustering support vector machines for protein local structure prediction
Understanding the sequence-to-structure relationship is a central task in bioinformatics research. Adequate knowledge about this relationship can potentially improve accuracy for ...
Wei Zhong, Jieyue He, Robert W. Harrison, Phang C....
EUROGP
2004
Springer
105views Optimization» more  EUROGP 2004»
14 years 1 months ago
Evolved Matrix Operations for Post-processing Protein Secondary Structure Predictions
Predicting the three-dimensional structure of proteins is a hard problem, so many have opted instead to predict the secondary structural state (usually helix, strand or coil) of e...
Varun Aggarwal, Robert M. MacCallum
BMCBI
2008
57views more  BMCBI 2008»
13 years 8 months ago
A novel method for high accuracy sumoylation site prediction from protein sequences
Background: Protein sumoylation is an essential dynamic, reversible post translational modification that plays a role in dozens of cellular activities, especially the regulation o...
Jialin Xu, Yun He, Boqin Qiang, Jiangang Yuan, Xia...
BMCBI
2006
129views more  BMCBI 2006»
13 years 8 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...