Please use this identifier to cite or link to this item: https://research.matf.bg.ac.rs/handle/123456789/319
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dc.contributor.authorJandrlić, Davorka Ren_US
dc.contributor.authorLazić, Goran Men_US
dc.contributor.authorMitić, Nenaden_US
dc.contributor.authorPavlović, Mirjana Den_US
dc.date.accessioned2022-08-09T12:41:49Z-
dc.date.available2022-08-09T12:41:49Z-
dc.date.issued2016-
dc.identifier.issn15320464-
dc.identifier.urihttps://research.matf.bg.ac.rs/handle/123456789/319-
dc.description.abstractWe have developed EpDis and MassPred, extendable open source software tools that support bioinformatic research and enable parallel use of different methods for the prediction of T cell epitopes, disorder and disordered binding regions and hydropathy calculation. These tools offer a semi-automated installation of chosen sets of external predictors and an interface allowing for easy application of the prediction methods, which can be applied either to individual proteins or to datasets of a large number of proteins. In addition to access to prediction methods, the tools also provide visualization of the obtained results, calculation of consensus from results of different methods, as well as import of experimental data and their comparison with results obtained with different predictors. The tools also offer a graphical user interface and the possibility to store data and the results obtained using all of the integrated methods in the relational database or flat file for further analysis. The MassPred part enables a massive parallel application of all integrated predictors to the set of proteins. Both tools can be downloaded from http://bioinfo.matf.bg.ac.rs/home/downloads.wafl?cat=Software. Appendix A includes the technical description of the created tools and a list of supported predictors.en_US
dc.language.isoenen_US
dc.relation.ispartofJournal of biomedical informaticsen_US
dc.subjectDisorder predictionen_US
dc.subjectMassive parallel predictionen_US
dc.subjectT cell epitope predictionen_US
dc.subjectVisualizationen_US
dc.titleSoftware tools for simultaneous data visualization and T cell epitopes and disorder prediction in proteinsen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.jbi.2016.01.016-
dc.identifier.pmid26851400-
dc.identifier.scopus2-s2.0-84962815196-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/84962815196-
dc.contributor.affiliationInformatics and Computer Scienceen_US
dc.relation.firstpage120en_US
dc.relation.lastpage131en_US
dc.relation.volume60en_US
item.fulltextNo Fulltext-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.openairetypeArticle-
crisitem.author.deptInformatics and Computer Science-
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