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» Agent-based protein structure prediction
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ICML
2004
IEEE
16 years 5 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
BMCBI
2008
104views more  BMCBI 2008»
15 years 4 months ago
Evolutionary Pareto-optimization of stably folding peptides
Background: As a rule, peptides are more flexible and unstructured than proteins with their substantial stabilizing hydrophobic cores. Nevertheless, a few stably folding peptides ...
Wolfram Gronwald, Tim Hohm, Daniel Hoffmann
BMCBI
2010
105views more  BMCBI 2010»
15 years 4 months ago
Comparison of PGH2 binding site in prostaglandin synthases
Background: Prostaglandin H2 (PGH2) is a common precursor for the synthesis of five different Prostanoids via specific Prostanoid Synthases. The binding of this substrate with the...
Padmapriya Paragi-Vedanthi, Mukesh Doble
BMCBI
2008
158views more  BMCBI 2008»
15 years 4 months ago
Bioinformatics in Italy: BITS2007, the fourth annual meeting of the Italian Society of Bioinformatics
spectives. A total of 149 abstracts were accepted and presented in the poster session and 31 of them were selected for oral presentation. At the opening of the meeting, Roderic Gui...
Graziano Pesole, Manuela Helmer-Citterich
BIOINFORMATICS
2006
124views more  BIOINFORMATICS 2006»
15 years 4 months ago
Probabilistic inference of transcription factor concentrations and gene-specific regulatory activities
Motivation Quantitative estimation of the regulatory relationship between transcription factors and genes is a fundamental stepping stone when trying to develop models of cellular...
Guido Sanguinetti, Neil D. Lawrence, Magnus Rattra...