Software tools for simultaneous data visualization and T cell epitopes and disorder prediction in proteins.
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 i...
| Publicado en: | Journal of Biomedical Informatics Vol. 60; pp. 120 - 132 |
|---|---|
| Autores principales: | , , , |
| Formato: | Journal Article |
| Publicado: |
Academic Press Inc.
Apr2016
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=114629821&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 114629821 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 15320464 OMB jtl: Journal of Biomedical Informatics issn: 15320464 maglogo: N pubinfo: dt: Apr2016 vid: 60 pid: 735 pub: Academic Press Inc. place: Burlington, Massachusetts artinfo: ui: 114629821 114629821 NLM26851400 10.1016/j.jbi.2016.01.016 NLM26851400 114629821 ppf: 120 ppct: 12 formats: tig: atl: Software tools for simultaneous data visualization and T cell epitopes and disorder prediction in proteins. aug: au: Jandrlić, Davorka R. Lazić, Goran M. Mitić, Nenad S. Pavlović, Mirjana D. affil: University of Belgrade, Faculty of Mechanical Engineering, Kraljice Marije 16, Belgrade, Serbia sug: ab: 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. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|