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BMCBI
2007
109views more  BMCBI 2007»
13 years 7 months ago
A domain-based approach to predict protein-protein interactions
Background: Knowing which proteins exist in a certain organism or cell type and how these proteins interact with each other are necessary for the understanding of biological proce...
Mudita Singhal, Haluk Resat
BMCBI
2005
97views more  BMCBI 2005»
13 years 7 months ago
Sequence variation in ligand binding sites in proteins
Background: The recent explosion in the availability of complete genome sequences has led to the cataloging of tens of thousands of new proteins and putative proteins. Many of the...
Thomas J. Magliery, Lynne Regan
BMCBI
2010
116views more  BMCBI 2010»
13 years 7 months ago
Optimization algorithms for functional deimmunization of therapeutic proteins
Background: To develop protein therapeutics from exogenous sources, it is necessary to mitigate the risks of eliciting an anti-biotherapeutic immune response. A key aspect of the ...
Andrew S. Parker, Wei Zheng, Karl E. Griswold, Chr...
BMCBI
2010
176views more  BMCBI 2010»
13 years 7 months ago
TargetSpy: a supervised machine learning approach for microRNA target prediction
Background: Virtually all currently available microRNA target site prediction algorithms require the presence of a (conserved) seed match to the 5' end of the microRNA. Recen...
Martin Sturm, Michael Hackenberg, David Langenberg...
ICML
2004
IEEE
14 years 8 months ago
Kernel conditional random fields: representation and clique selection
Kernel conditional random fields (KCRFs) are introduced as a framework for discriminative modeling of graph-structured data. A representer theorem for conditional graphical models...
John D. Lafferty, Xiaojin Zhu, Yan Liu