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» A Graph Theoretic Approach to Protein Structure Selection
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BIBE
2005
IEEE
116views Bioinformatics» more  BIBE 2005»
14 years 2 months ago
Stochastic Model of Protease-Ligand Reactions
Prediction of protein tertiary structure based on amino acid sequence is one of the most challenging open questions in computational molecular biology. The two most common experim...
Paul E. Anderson, Douglas W. Raiford, Deacon J. Sw...
DNA
2001
Springer
125views Bioinformatics» more  DNA 2001»
14 years 1 months ago
PNA-mediated Whiplash PCR
The directed evolution of proteins, using an in vitro domainal shuffling strategy was proposed in (J. Kolkman and W. Stemmer, Nat. Biotech. 19, 423 (2001). Due to backhybridization...
John A. Rose, Russell J. Deaton, Masami Hagiya, Ak...
APBC
2003
134views Bioinformatics» more  APBC 2003»
13 years 10 months ago
A Framework for Improving Protein Structure Predictions by Teamwork
Predicting the three dimensional structure of proteins is a difficult task. In the last years several approaches have been proposed for performing this task taking into account d...
Luigi Palopoli, Giorgio Terracina
WABI
2001
Springer
142views Bioinformatics» more  WABI 2001»
14 years 1 months ago
Pattern Matching and Pattern Discovery Algorithms for Protein Topologies
We describe algorithms for pattern matching and pattern learning in TOPS diagrams (formal descriptions of protein topologies). These problems can be reduced to checking for subgrap...
Juris Viksna, David Gilbert
ICML
2004
IEEE
14 years 9 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