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Using computational biology for the annotation of proteins
Date:11/26/2012

they offer conclusions regarding the interpretation of those predictions, which may help explain the function of the cellular processes that were studied. "In particular," states Beatriz Garca, "the predictions obtained regarding two human proteins stand out (E3 SUMO-protein ligase y E3 ubiquitin-protein ligase DTX1); these were previously related to the controlled degradation of certain proteins, and we can now propose a new function related to the stabilization of telomeres and, therefore, their possible implication in cellular aging and the development of cancer, which will require experimental verification."

For this study, part of which was recently published in the journal PLOS ONE, the researcher has received the award for the best doctoral dissertation in her field (Experimental Sciences and Technology) from the Real Academia de Doctores de Espaa (Spanish Royal Academy of Doctors). The implications that this work holds for the scientific community are already being felt. In fact, the results of the first problem that the project analyzes have already been integrated into the predictions server EcID (E.coli Interaction Database) and they offer a reliability value for the predictions that improves the system's performance when finding functional associations among the proteins that appear in this database. Moreover, the second biological problem dealt with in the study opens a new area of research in Biocomputing, by extending already existing pathways. "The procedure it presents complements the only previously existing publication in the field, extending the pathways with many more proteins and exploring a greater surface of the network of interactions," comments the researcher. In addition, it could be applied to many more problems of functional annotation in Biology and other fields in which there is relevant information with multiple relationships.

In any case, much work remains to be done in the area of Biocomputation. "There are
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Contact: Ana Herrera
oic@uc3m.es
Carlos III University of Madrid
Source:Eurekalert  

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