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JUCS
2010
104views more  JUCS 2010»
13 years 2 months ago
Investigating a Correlation between Subcellular Localization and Fold of Proteins
: When considering the prediction of a structural class for a protein as a classification problem, usually a classifier is based on a feature vector x ∈ Rn , where the features...
Johannes Aßfalg, Jing Gong, Hans-Peter Krieg...
BMCBI
2010
89views more  BMCBI 2010»
13 years 4 months ago
Predictors of natively unfolded proteins: unanimous consensus score to detect a twilight zone between order and disorder in gene
Background: Natively unfolded proteins lack a well defined three dimensional structure but have important biological functions, suggesting a re-assignment of the structure-functio...
Antonio Deiana, Andrea Giansanti
CIBCB
2007
IEEE
13 years 10 months ago
A Comparison of Sequence Kernels for Localization Prediction of Transmembrane Proteins
Abstract— We applied Support Vector Machines to the prediction of the subcellular localization of transmembrane proteins, and compared the performance of different sequence kerne...
Stefan Maetschke, Marcus Gallagher, Mikael Bod&eac...
BMCBI
2005
116views more  BMCBI 2005»
13 years 4 months ago
Dynamic covariation between gene expression and proteome characteristics
Background: Cells react to changing intra- and extracellular signals by dynamically modulating complex biochemical networks. Cellular responses to extracellular signals lead to ch...
Mansour Taghavi Azar Sharabiani, Markku Siermala, ...
BMCBI
2008
138views more  BMCBI 2008»
13 years 4 months ago
Application of nonnegative matrix factorization to improve profile-profile alignment features for fold recognition and remote ho
Background: Nonnegative matrix factorization (NMF) is a feature extraction method that has the property of intuitive part-based representation of the original features. This uniqu...
Inkyung Jung, Jaehyung Lee, Soo-Young Lee, Dongsup...