Background: Similarity inference, one of the main bioinformatics tasks, has to face an exponential growth of the biological data. A classical approach used to cope with this data ...
Background: The structure of many eukaryotic cell regulatory proteins is highly modular. They are assembled from globular domains, segments of natively disordered polypeptides and...
Claudia Chica, Alberto Labarga, Cathryn M. Gould, ...
Background: Several eukaryotic proteins associated to the extracellular leaflet of the plasma membrane carry a Glycosylphosphatidylinositol (GPI) anchor, which is linked to the C-...
Andrea Pierleoni, Pier Luigi Martelli, Rita Casadi...
Background: As one of the most common protein post-translational modifications, glycosylation is involved in a variety of important biological processes. Computational identificat...
Background: Protein structural alignment provides a fundamental basis for deriving principles of functional and evolutionary relationships. It is routinely used for structural cla...
Background: Determining the function of uncharacterized proteins is a major challenge in the post-genomic era due to the problem's complexity and scale. Identifying a protein...
Aaron Gabow, Sonia M. Leach, William A. Baumgartne...
Background: The development and improvement of reliable computational methods designed to evaluate the quality of protein models is relevant in the context of protein structure re...
Paolo Mereghetti, Maria Luisa Ganadu, Elena Papale...
Background: The principles of protein folding and evolution pose problems of very high inherent complexity. Often these problems are tackled using simplified protein models, e.g. ...
Background: Target identification is important for modern drug discovery. With the advances in the development of molecular docking, potential binding proteins may be discovered b...
Background: Structural alignment is an important step in protein comparison. Well-established methods exist for solving this problem under the assumption that the structures under...
Roberto Mosca, Barbara Brannetti, Thomas R. Schnei...