Приказ основних података о документу

dc.creatorJandrlić, Davorka
dc.creatorLazić, Goran M.
dc.creatorMitić, Nenad S.
dc.creatorPavlović, Mirjana D.
dc.date.accessioned2022-09-19T17:59:12Z
dc.date.available2022-09-19T17:59:12Z
dc.date.issued2016
dc.identifier.issn1532-0464
dc.identifier.urihttps://machinery.mas.bg.ac.rs/handle/123456789/2405
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
dc.publisherAcademic Press Inc Elsevier Science, San Diego
dc.relationinfo:eu-repo/grantAgreement/MESTD/Basic Research (BR or ON)/174021/RS//
dc.relationinfo:eu-repo/grantAgreement/MESTD/Basic Research (BR or ON)/174002/RS//
dc.rightsopenAccess
dc.sourceJournal of Biomedical Informatics
dc.subjectVisualizationen
dc.subjectT cell epitope predictionen
dc.subjectMassive parallel predictionen
dc.subjectDisorder predictionen
dc.titleSoftware tools for simultaneous data visualization and T cell epitopes and disorder prediction in proteinsen
dc.typearticle
dc.rights.licenseARR
dc.citation.epage131
dc.citation.other60: 120-131
dc.citation.rankaM21
dc.citation.spage120
dc.citation.volume60
dc.identifier.doi10.1016/j.jbi.2016.01.016
dc.identifier.fulltexthttp://machinery.mas.bg.ac.rs/bitstream/id/1143/2402.pdf
dc.identifier.pmid26851400
dc.identifier.scopus2-s2.0-84962815196
dc.identifier.wos000384704100013
dc.type.versionpublishedVersion


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Приказ основних података о документу