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dc.contributor.authorPallara, Chiara
dc.contributor.authorJiménez-García, Brian
dc.contributor.authorRomero, Miguel
dc.contributor.authorFernandez-Recio, Juan
dc.date.accessioned2015-06-03T10:19:39Z
dc.date.available2015-06-03T10:19:39Z
dc.date.issued2015-05-05
dc.identifier.citationPallara, Chiara [et al.]. pyDock performance in 5th CAPRI edition: from docking and scoring to binding affinity predictions and other challenges. A: "BSC Doctoral Symposium (2nd: 2015: Barcelona)". 2nd ed. Barcelona: Barcelona Supercomputing Center, 2015, p. 99-100.
dc.identifier.urihttp://hdl.handle.net/2099/16564
dc.description.abstractProteins form the executive machinery underlying all the biological processes that occur within and between cells, from DNA replication to protein degradation. Although genome-scale technologies enable to clarify their large, intricate and highly dynamics networks, they fail to elucidate the detailed molecular mechanism that underlies the protein association process. Therefore, one of the most challenging objectives in biological research is to functionally characterize protein interactions by solving 3D complex structures. This is, however, not a trivial task as confirmed by the large gap that exist between the number of complexes identified by large-scale proteomics efforts and those for which high-resolution 3D experimental structures are available. For these reasons, computational docking methods, aimed to predict the binding mode of two proteins starting from the coordinates of the individual subunits, are bound to become a complementary approach to solve the structural interactome. Given its importance, the field of protein docking has experienced an explosion in recent years partially propelled by CAPRI (http://www.ebi.ac.uk/msd-srv/capri/). CAPRI (Critical Assessment of PRedicted Interaction) is a community-wide blind experiment aimed at objectively assessing the performance of computational methods for modeling protein interactions by inviting developers to test their algorithms on the same target system and quantitatively evaluating the results. In order to test pyDock,1 a docking scoring algorithm developed in our group, the PID (Protein Interaction and Docking) group of the BSC Life Science Department, we have participated in all the 15 targets (T46 to T58) of the 5th CAPRI edition (2010-2012). Our automated protocol confirmed to be highly successful to provide correct models in easy-to-medium difficulty protein-protein docking cases placing among the Top5 ranked groups out of more than 60 participants. Key words: Complex structure, CAPRI, protein-protein docking, pyDock, protein interactions.
dc.format.extent2 p.
dc.language.isoeng
dc.publisherBarcelona Supercomputing Center
dc.relation.ispartofBSC Doctoral Symposium (2nd: 2015: Barcelona)
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::Arquitectura de computadors
dc.subjectÀrees temàtiques de la UPC::Enginyeria química::Química orgànica
dc.subject.lcshHigh performance computing
dc.subject.lcshSupercomputers
dc.subject.lcshProtein binding
dc.subject.lcshProtein-protein interactions
dc.subject.otherComplex structure
dc.subject.otherProtein interactions
dc.subject.otherCAPRI
dc.subject.otherProtein-protein docking
dc.titlepyDock performance in 5th CAPRI edition: from docking and scoring to binding affinity predictions and other challenges
dc.typeConference report
dc.subject.lemacCàlcul intensiu (Informàtica)
dc.subject.lemacSupercomputadors
dc.subject.lemacProteïnes -- Fixació
dc.subject.lemacInteraccions proteïna-proteïna
dc.rights.accessOpen Access
local.citation.authorPallara, Chiara; Jiménez-García, Brian; Romero, Miguel; Fernandez-Recio, Juan
local.citation.pubplaceBarcelona
local.citation.publicationNameBSC Doctoral Symposium (2nd: 2015: Barcelona)
local.citation.startingPage99
local.citation.endingPage100
local.citation.edition2nd


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