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» A Graph Theoretic Approach to Protein Structure Selection
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BMCBI
2010
176views more  BMCBI 2010»
13 years 8 months ago
Bayesian statistical modelling of human protein interaction network incorporating protein disorder information
Background: We present a statistical method of analysis of biological networks based on the exponential random graph model, namely p2-model, as opposed to previous descriptive app...
Svetlana Bulashevska, Alla Bulashevska, Roland Eil...
WG
2005
Springer
14 years 2 months ago
Fixed-Parameter Algorithms for Protein Similarity Search Under mRNA Structure Constraints
Abstract. In the context of protein engineering, we consider the problem of computing an mRNA sequence of maximal codon-wise similarity to a given mRNA (and consequently, to a give...
Guillaume Blin, Guillaume Fertin, Danny Hermelin, ...
BMCBI
2010
141views more  BMCBI 2010»
13 years 8 months ago
BioPhysConnectoR: Connecting Sequence Information and Biophysical Models
Background: One of the most challenging aspects of biomolecular systems is the understanding of the coevolution in and among the molecule(s). A complete, theoretical picture of th...
Franziska Hoffgaard, Philipp Weil, Kay Hamacher
BMCBI
2007
150views more  BMCBI 2007»
13 years 8 months ago
Refining intra-protein contact prediction by graph analysis
Background: Accurate prediction of intra-protein residue contacts from sequence information will allow the prediction of protein structures. Basic predictions of such specific con...
Milana Frenkel-Morgenstern, Rachel Magid, Eran Eya...
BMCBI
2008
112views more  BMCBI 2008»
13 years 8 months ago
A simplified approach to disulfide connectivity prediction from protein sequences
Background: Prediction of disulfide bridges from protein sequences is useful for characterizing structural and functional properties of proteins. Several methods based on differen...
Marc Vincent, Andrea Passerini, Matthieu Labb&eacu...