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» A graphical model for protein secondary structure prediction
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101
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ICML
2007
IEEE
16 years 1 months ago
Incremental Bayesian networks for structure prediction
We propose a class of graphical models appropriate for structure prediction problems where the model structure is a function of the output structure. Incremental Sigmoid Belief Ne...
Ivan Titov, James Henderson
92
Voted
BMCBI
2010
118views more  BMCBI 2010»
15 years 21 days ago
Computing H/D-Exchange rates of single residues from data of proteolytic fragments
Background: Protein conformation and protein/protein interaction can be elucidated by solution-phase Hydrogen/ Deuterium exchange (sHDX) coupled to high-resolution mass analysis o...
Ernst Althaus, Stefan Canzar, Carsten Ehrler, Mark...
115
Voted
BIBE
2004
IEEE
149views Bioinformatics» more  BIBE 2004»
15 years 4 months ago
Interactive 3D Protein Structure Visualization Using Virtual Reality
Large-scale biomedical data sets of macromolecular structures such as DNA and proteins describe highly complex biomolecular entities which often consist of thousands of atoms and ...
Elke Moritz, Jörg Meyer
92
Voted
ISMB
2000
15 years 1 months ago
Prediction of the Number of Residue Contacts in Proteins
Knowing the number of residue contacts in a protein is crucial for deriving constraints useful in modeling protein folding, protein structure, and/or scoring remote homology searc...
Piero Fariselli, Rita Casadio
97
Voted
MCS
2010
Springer
15 years 5 months ago
An Experimental Comparison of Hierarchical Bayes and True Path Rule Ensembles for Protein Function Prediction
Abstract. The computational genome-wide annotation of gene functions requires the prediction of hierarchically structured functional classes and can be formalized as a multiclass, ...
Matteo Re, Giorgio Valentini