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dc.contributorPagonabarraga Mora, Ignacio
dc.contributorGuallar Tasies, Victor
dc.contributor.authorCabeza de Vaca López, Israel
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Física Aplicada
dc.date.accessioned2009-11-09T11:58:19Z
dc.date.available2009-11-09T11:58:19Z
dc.date.issued2009-09-14
dc.identifier.urihttp://hdl.handle.net/2099.1/7751
dc.description.abstractThis project aims to develop nobels algorithms to model protein-protein complexes, a very important aspect in biophysics. The algorithm presented based only on geometrical arguments, is intended to be a first and fast approach to get the most probable configurations. The algorithm finds the best positions producing only a small number of solutions (over 250 solutions). The method is based on 2D FFT (fast fourier transform) and orthographic projections of the proteins. The method allows us to find solutions around 15 Ǻ of Cα root mean square deviation for proteins with low electrostatic interactions.
dc.language.isoeng
dc.publisherUniversitat Politècnica de Catalunya
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Informàtica::Informàtica teòrica::Algorísmica i teoria de la complexitat
dc.subjectÀrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Aplicacions informàtiques a la física i l‘enginyeria
dc.subject.lcshProteins -- Metabolism
dc.subject.lcshComputer algorithms
dc.subject.otherProtein-protein docking
dc.subject.otherOrthographic projection coefficient
dc.subject.otherProtein recognition,
dc.subject.otherGeometrical predictive docking
dc.titleProtein-protein docking using geometrical arguments
dc.typeMaster thesis
dc.subject.lemacProteïnes -- Metabolisme
dc.subject.lemacAlgorismes computacionals
dc.rights.accessOpen Access
dc.audience.educationlevelMàster
dc.audience.mediatorFacultat d'Informàtica de Barcelona


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Except where otherwise noted, content on this work is licensed under a Creative Commons license: Attribution-NonCommercial-NoDerivs 3.0 Spain