Please use this identifier to cite or link to this item:
https://research.matf.bg.ac.rs/handle/123456789/319
DC Field | Value | Language |
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dc.contributor.author | Jandrlić, Davorka R | en_US |
dc.contributor.author | Lazić, Goran M | en_US |
dc.contributor.author | Mitić, Nenad | en_US |
dc.contributor.author | Pavlović, Mirjana D | en_US |
dc.date.accessioned | 2022-08-09T12:41:49Z | - |
dc.date.available | 2022-08-09T12:41:49Z | - |
dc.date.issued | 2016 | - |
dc.identifier.issn | 15320464 | - |
dc.identifier.uri | https://research.matf.bg.ac.rs/handle/123456789/319 | - |
dc.description.abstract | We 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.iso | en | en_US |
dc.relation.ispartof | Journal of biomedical informatics | en_US |
dc.subject | Disorder prediction | en_US |
dc.subject | Massive parallel prediction | en_US |
dc.subject | T cell epitope prediction | en_US |
dc.subject | Visualization | en_US |
dc.title | Software tools for simultaneous data visualization and T cell epitopes and disorder prediction in proteins | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.1016/j.jbi.2016.01.016 | - |
dc.identifier.pmid | 26851400 | - |
dc.identifier.scopus | 2-s2.0-84962815196 | - |
dc.identifier.url | https://api.elsevier.com/content/abstract/scopus_id/84962815196 | - |
dc.contributor.affiliation | Informatics and Computer Science | en_US |
dc.relation.firstpage | 120 | en_US |
dc.relation.lastpage | 131 | en_US |
dc.relation.volume | 60 | en_US |
item.fulltext | No Fulltext | - |
item.languageiso639-1 | en | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.cerifentitytype | Publications | - |
item.grantfulltext | none | - |
item.openairetype | Article | - |
crisitem.author.dept | Informatics and Computer Science | - |
Appears in Collections: | Research outputs |
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