Pavlović, Mirjana D.

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31822211-c1ca-49f3-abca-2c20f917063e
  • Pavlović, Mirjana D. (3)
  • Pavlović, Mirjana (2)
Projects

Author's Bibliography

T-cell epitope prediction, the influence of amino acids physicochemical propeterties and frequencies on identifying MHC binding ligands

Jandrlić, Davorka; Mitić, Nenad; Pavlović, Mirjana

(Belgrade : Faculty of Mathematics, University, 2017)

TY  - CONF
AU  - Jandrlić, Davorka
AU  - Mitić, Nenad
AU  - Pavlović, Mirjana
PY  - 2017
UR  - http://euler.matf.bg.ac.rs/belbi2016/
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/6772
AB  - Binding of peptides to MHC class I molecules is essential and the most selective step that determines T cell epitopes. Therefore, prediction of MHC-peptide binding presents the principal basis for anticipating potential T cell epitopes. The immense relevance of epitope identification in vaccine design has prompted the development of many computational methods. All of them have advantages and drawbacks. Although some available methods have reasonable accuracy, there is no guarantee that all models produce good quality predictions [1]. The aim of computational methods is to reduce the laboratory expensive experiments [2], that is way every effort to improve performance of existing methods or make reliable new method is important.
PB  - Belgrade : Faculty of Mathematics, University
C3  - Proceedings Belgrade BioInformatics Conference 2016 20-24 June 2016, Belgrade, Serbia
T1  - T-cell epitope prediction, the influence of amino acids physicochemical propeterties and frequencies on identifying MHC binding ligands
EP  - 63
SP  - 55
UR  - https://hdl.handle.net/21.15107/rcub_machinery_6772
ER  - 
@conference{
author = "Jandrlić, Davorka and Mitić, Nenad and Pavlović, Mirjana",
year = "2017",
abstract = "Binding of peptides to MHC class I molecules is essential and the most selective step that determines T cell epitopes. Therefore, prediction of MHC-peptide binding presents the principal basis for anticipating potential T cell epitopes. The immense relevance of epitope identification in vaccine design has prompted the development of many computational methods. All of them have advantages and drawbacks. Although some available methods have reasonable accuracy, there is no guarantee that all models produce good quality predictions [1]. The aim of computational methods is to reduce the laboratory expensive experiments [2], that is way every effort to improve performance of existing methods or make reliable new method is important.",
publisher = "Belgrade : Faculty of Mathematics, University",
journal = "Proceedings Belgrade BioInformatics Conference 2016 20-24 June 2016, Belgrade, Serbia",
title = "T-cell epitope prediction, the influence of amino acids physicochemical propeterties and frequencies on identifying MHC binding ligands",
pages = "63-55",
url = "https://hdl.handle.net/21.15107/rcub_machinery_6772"
}
Jandrlić, D., Mitić, N.,& Pavlović, M.. (2017). T-cell epitope prediction, the influence of amino acids physicochemical propeterties and frequencies on identifying MHC binding ligands. in Proceedings Belgrade BioInformatics Conference 2016 20-24 June 2016, Belgrade, Serbia
Belgrade : Faculty of Mathematics, University., 55-63.
https://hdl.handle.net/21.15107/rcub_machinery_6772
Jandrlić D, Mitić N, Pavlović M. T-cell epitope prediction, the influence of amino acids physicochemical propeterties and frequencies on identifying MHC binding ligands. in Proceedings Belgrade BioInformatics Conference 2016 20-24 June 2016, Belgrade, Serbia. 2017;:55-63.
https://hdl.handle.net/21.15107/rcub_machinery_6772 .
Jandrlić, Davorka, Mitić, Nenad, Pavlović, Mirjana, "T-cell epitope prediction, the influence of amino acids physicochemical propeterties and frequencies on identifying MHC binding ligands" in Proceedings Belgrade BioInformatics Conference 2016 20-24 June 2016, Belgrade, Serbia (2017):55-63,
https://hdl.handle.net/21.15107/rcub_machinery_6772 .

Software tools for simultaneous data visualization and T cell epitopes and disorder prediction in proteins

Jandrlić, Davorka; Lazić, Goran M.; Mitić, Nenad S.; Pavlović, Mirjana D.

(Academic Press Inc Elsevier Science, San Diego, 2016)

TY  - JOUR
AU  - Jandrlić, Davorka
AU  - Lazić, Goran M.
AU  - Mitić, Nenad S.
AU  - Pavlović, Mirjana D.
PY  - 2016
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/2405
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.
PB  - Academic Press Inc Elsevier Science, San Diego
T2  - Journal of Biomedical Informatics
T1  - Software tools for simultaneous data visualization and T cell epitopes and disorder prediction in proteins
EP  - 131
SP  - 120
VL  - 60
DO  - 10.1016/j.jbi.2016.01.016
ER  - 
@article{
author = "Jandrlić, Davorka and Lazić, Goran M. and Mitić, Nenad S. and Pavlović, Mirjana D.",
year = "2016",
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.",
publisher = "Academic Press Inc Elsevier Science, San Diego",
journal = "Journal of Biomedical Informatics",
title = "Software tools for simultaneous data visualization and T cell epitopes and disorder prediction in proteins",
pages = "131-120",
volume = "60",
doi = "10.1016/j.jbi.2016.01.016"
}
Jandrlić, D., Lazić, G. M., Mitić, N. S.,& Pavlović, M. D.. (2016). Software tools for simultaneous data visualization and T cell epitopes and disorder prediction in proteins. in Journal of Biomedical Informatics
Academic Press Inc Elsevier Science, San Diego., 60, 120-131.
https://doi.org/10.1016/j.jbi.2016.01.016
Jandrlić D, Lazić GM, Mitić NS, Pavlović MD. Software tools for simultaneous data visualization and T cell epitopes and disorder prediction in proteins. in Journal of Biomedical Informatics. 2016;60:120-131.
doi:10.1016/j.jbi.2016.01.016 .
Jandrlić, Davorka, Lazić, Goran M., Mitić, Nenad S., Pavlović, Mirjana D., "Software tools for simultaneous data visualization and T cell epitopes and disorder prediction in proteins" in Journal of Biomedical Informatics, 60 (2016):120-131,
https://doi.org/10.1016/j.jbi.2016.01.016 . .
10
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10

Epitope distribution in ordered and disordered protein regions - Part A. T-cell epitope frequency, affinity and hydropathy

Mitić, Nenad S.; Pavlović, Mirjana D.; Jandrlić, Davorka

(Elsevier, Amsterdam, 2014)

TY  - JOUR
AU  - Mitić, Nenad S.
AU  - Pavlović, Mirjana D.
AU  - Jandrlić, Davorka
PY  - 2014
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/2003
AB  - Highly disordered protein regions are prevalently hydrophilic, extremely sensitive to proteolysis in vitro, and are expected to be under-represented as T-cell epitopes. The aim of this research was to find out whether disorder and hydropathy prediction methods could help in understanding epitope processing and presentation. According to the pan-specific T-cell epitope predictors NetMHCpan and NetMHCIIpan and 9 publicly available disorder predictors, frequency of epitopes presented by human leukocyte antigens (HLA) class-I or -II was found to be more than 2.5 times higher in ordered than in disordered protein regions (depending on the disorder predictor). Both HLA class-I and HLA class-II binding epitopes are prevalently hydrophilic in disordered and prevalently hydrophobic in ordered protein regions, whereas epitopes recognized by HIA class-II alleles are more hydrophobic than those recognized by HLA class-I. As regards both classes of HLA molecules, high-affinity binding epitopes display more hydrophobicity than low affinity-binding epitopes (in both ordered and disordered regions). Epitopes belonging to disordered protein regions were not predicted to have poor affinity to HIA class-II molecules, as expected from disorder intrinsic proteolytic instability. The relation of epitope hydrophobicity and order/disorder location was also valid if alleles were grouped according to the HIA class-I and HLA class-II supertypes, except for the class-I supertype A3 in which the main part of recognized epitopes was prevalently hydrophilic. Regarding specific supertypes, the affinity of epitopes belonging to ordered regions varies only slightly (depending on the disorder predictor) compared to the affinity of epitopes in corresponding disordered regions. The distribution of epitopes in ordered and disordered protein regions has revealed that the curves of order-epitope distribution were convex-like while the curves of disorder-epitope distribution were concave-like. The percentage of prevalently hydrophobic epitopes increases with the enhancement of epitope promiscuity level and moving from disordered to ordered regions. These data suggests that reverse vaccinology, oriented towards promiscuous and high-affinity epitopes, is also oriented towards prevalently hydrophobic, ordered regions. The analysis of predicted and experimentally evaluated epitopes of cancer-testis antigen MAGE-A3 has confirmed that the majority of T-cell epitopes, particularly those that are promiscuous or naturally processed, was located in ordered and disorder/order boundary protein regions overlapping hydrophobic regions.
PB  - Elsevier, Amsterdam
T2  - Journal of Immunological Methods
T1  - Epitope distribution in ordered and disordered protein regions - Part A. T-cell epitope frequency, affinity and hydropathy
EP  - 103
SP  - 83
VL  - 406
DO  - 10.1016/j.jim.2014.02.012
ER  - 
@article{
author = "Mitić, Nenad S. and Pavlović, Mirjana D. and Jandrlić, Davorka",
year = "2014",
abstract = "Highly disordered protein regions are prevalently hydrophilic, extremely sensitive to proteolysis in vitro, and are expected to be under-represented as T-cell epitopes. The aim of this research was to find out whether disorder and hydropathy prediction methods could help in understanding epitope processing and presentation. According to the pan-specific T-cell epitope predictors NetMHCpan and NetMHCIIpan and 9 publicly available disorder predictors, frequency of epitopes presented by human leukocyte antigens (HLA) class-I or -II was found to be more than 2.5 times higher in ordered than in disordered protein regions (depending on the disorder predictor). Both HLA class-I and HLA class-II binding epitopes are prevalently hydrophilic in disordered and prevalently hydrophobic in ordered protein regions, whereas epitopes recognized by HIA class-II alleles are more hydrophobic than those recognized by HLA class-I. As regards both classes of HLA molecules, high-affinity binding epitopes display more hydrophobicity than low affinity-binding epitopes (in both ordered and disordered regions). Epitopes belonging to disordered protein regions were not predicted to have poor affinity to HIA class-II molecules, as expected from disorder intrinsic proteolytic instability. The relation of epitope hydrophobicity and order/disorder location was also valid if alleles were grouped according to the HIA class-I and HLA class-II supertypes, except for the class-I supertype A3 in which the main part of recognized epitopes was prevalently hydrophilic. Regarding specific supertypes, the affinity of epitopes belonging to ordered regions varies only slightly (depending on the disorder predictor) compared to the affinity of epitopes in corresponding disordered regions. The distribution of epitopes in ordered and disordered protein regions has revealed that the curves of order-epitope distribution were convex-like while the curves of disorder-epitope distribution were concave-like. The percentage of prevalently hydrophobic epitopes increases with the enhancement of epitope promiscuity level and moving from disordered to ordered regions. These data suggests that reverse vaccinology, oriented towards promiscuous and high-affinity epitopes, is also oriented towards prevalently hydrophobic, ordered regions. The analysis of predicted and experimentally evaluated epitopes of cancer-testis antigen MAGE-A3 has confirmed that the majority of T-cell epitopes, particularly those that are promiscuous or naturally processed, was located in ordered and disorder/order boundary protein regions overlapping hydrophobic regions.",
publisher = "Elsevier, Amsterdam",
journal = "Journal of Immunological Methods",
title = "Epitope distribution in ordered and disordered protein regions - Part A. T-cell epitope frequency, affinity and hydropathy",
pages = "103-83",
volume = "406",
doi = "10.1016/j.jim.2014.02.012"
}
Mitić, N. S., Pavlović, M. D.,& Jandrlić, D.. (2014). Epitope distribution in ordered and disordered protein regions - Part A. T-cell epitope frequency, affinity and hydropathy. in Journal of Immunological Methods
Elsevier, Amsterdam., 406, 83-103.
https://doi.org/10.1016/j.jim.2014.02.012
Mitić NS, Pavlović MD, Jandrlić D. Epitope distribution in ordered and disordered protein regions - Part A. T-cell epitope frequency, affinity and hydropathy. in Journal of Immunological Methods. 2014;406:83-103.
doi:10.1016/j.jim.2014.02.012 .
Mitić, Nenad S., Pavlović, Mirjana D., Jandrlić, Davorka, "Epitope distribution in ordered and disordered protein regions - Part A. T-cell epitope frequency, affinity and hydropathy" in Journal of Immunological Methods, 406 (2014):83-103,
https://doi.org/10.1016/j.jim.2014.02.012 . .
11
7
8

Epitope distribution in ordered and disordered protein regions. Part B - Ordered regions and disordered binding sites are targets of T- and B-cell immunity

Pavlović, Mirjana D.; Jandrlić, Davorka; Mitić, Nenad S.

(Elsevier, Amsterdam, 2014)

TY  - JOUR
AU  - Pavlović, Mirjana D.
AU  - Jandrlić, Davorka
AU  - Mitić, Nenad S.
PY  - 2014
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/1895
AB  - Intrinsically disordered proteins exist in highly flexible conformational states linked to different protein functions. In this work, we have presented evidence that HLA class-I- and class-II-binding T-cell epitopes, experimentally verified in several tumor-associated antigens and nuclear systemic autoantigens, are predominantly located in ordered protein regions or at disorder/order borderlines, defined by the majority of analyzed publicly available disorder predictors. We have also observed the overlapping of secondary structural elements and prevalently hydrophobic regions with T-cell epitopes in Epstein Barr Virus (EBV) nuclear antigen 1 (EBNA-1), cancer/testis antigen MAGE-A4, and Sm-B/B', U1 snRNPA (U1A) and U1-70 kDa autoantigens. The results are in accordance with the clustering of the predicted HLA class-I and class-II epitopes in protein parts which encompass the consensus of ordered regions, determined by individual disorder predictors. Some HLA class-II epitopes and linear B-cell epitopes were located near the segments predicted to have elevated crystallographic B factor in EBNA-1, Sm-B/B' and U1 snRNP A proteins, suggesting that protein flexibility could influence the structural availability of epitopes. Naturally processed T-cell epitopes and linear B-cell epitopes could also be found within putative disordered binding sites, determined by "dips" in the prevalently disordered parts of prediction profiles of the majority of disorder predictors, and peaks in ANCHOR-prediction profile. Two minor antigenic regions within EBNA-1, mapped to the residues 58-85 and 398-458, encompassing putative disordered binding sites, contain epitopes connected with anti-Ro 60 kDa and anti-Sm B/B' autoimmunity in systemic lupus erythematosus. One of these regions overlaps residues 395-450, identified as the binding site of USP7 (HAUSP), which regulates the EBNA-1 replication function. In Sm-B/B', one of the putative disordered binding sites (residues 114-165) encompasses the T-cell epitope 136-153, while another, residues 200-216, flanks two proline-rich B-cell epitopes (residues 190-198 and 216-222), overlapping the preferred CD2BP2-GYF-binding motif (R/K/G)XXPPGX(R/K), characteristic of splicosomal proteins. We have noticed that the same motif (residues 397-403) is mimicked in EBNA-1 and overlaps epitope 398-404, involved in anti-Sm B/B' autoimmunity. The majority of recognized T- and B-cell epitopes in analyzed autoantigens or tumor-associated antigens appertain to the ordered or transient protein structures. The congruence between certain B- and T-cell epitopes and predicted disordered binding sites or protein-binding eukaryotic motifs in the antigens participating in molecular complexes might influence the capture of antigens, their processing and subsequent presentation and immunodominance.
PB  - Elsevier, Amsterdam
T2  - Journal of Immunological Methods
T1  - Epitope distribution in ordered and disordered protein regions. Part B - Ordered regions and disordered binding sites are targets of T- and B-cell immunity
EP  - 107
SP  - 90
VL  - 407
DO  - 10.1016/j.jim.2014.03.027
ER  - 
@article{
author = "Pavlović, Mirjana D. and Jandrlić, Davorka and Mitić, Nenad S.",
year = "2014",
abstract = "Intrinsically disordered proteins exist in highly flexible conformational states linked to different protein functions. In this work, we have presented evidence that HLA class-I- and class-II-binding T-cell epitopes, experimentally verified in several tumor-associated antigens and nuclear systemic autoantigens, are predominantly located in ordered protein regions or at disorder/order borderlines, defined by the majority of analyzed publicly available disorder predictors. We have also observed the overlapping of secondary structural elements and prevalently hydrophobic regions with T-cell epitopes in Epstein Barr Virus (EBV) nuclear antigen 1 (EBNA-1), cancer/testis antigen MAGE-A4, and Sm-B/B', U1 snRNPA (U1A) and U1-70 kDa autoantigens. The results are in accordance with the clustering of the predicted HLA class-I and class-II epitopes in protein parts which encompass the consensus of ordered regions, determined by individual disorder predictors. Some HLA class-II epitopes and linear B-cell epitopes were located near the segments predicted to have elevated crystallographic B factor in EBNA-1, Sm-B/B' and U1 snRNP A proteins, suggesting that protein flexibility could influence the structural availability of epitopes. Naturally processed T-cell epitopes and linear B-cell epitopes could also be found within putative disordered binding sites, determined by "dips" in the prevalently disordered parts of prediction profiles of the majority of disorder predictors, and peaks in ANCHOR-prediction profile. Two minor antigenic regions within EBNA-1, mapped to the residues 58-85 and 398-458, encompassing putative disordered binding sites, contain epitopes connected with anti-Ro 60 kDa and anti-Sm B/B' autoimmunity in systemic lupus erythematosus. One of these regions overlaps residues 395-450, identified as the binding site of USP7 (HAUSP), which regulates the EBNA-1 replication function. In Sm-B/B', one of the putative disordered binding sites (residues 114-165) encompasses the T-cell epitope 136-153, while another, residues 200-216, flanks two proline-rich B-cell epitopes (residues 190-198 and 216-222), overlapping the preferred CD2BP2-GYF-binding motif (R/K/G)XXPPGX(R/K), characteristic of splicosomal proteins. We have noticed that the same motif (residues 397-403) is mimicked in EBNA-1 and overlaps epitope 398-404, involved in anti-Sm B/B' autoimmunity. The majority of recognized T- and B-cell epitopes in analyzed autoantigens or tumor-associated antigens appertain to the ordered or transient protein structures. The congruence between certain B- and T-cell epitopes and predicted disordered binding sites or protein-binding eukaryotic motifs in the antigens participating in molecular complexes might influence the capture of antigens, their processing and subsequent presentation and immunodominance.",
publisher = "Elsevier, Amsterdam",
journal = "Journal of Immunological Methods",
title = "Epitope distribution in ordered and disordered protein regions. Part B - Ordered regions and disordered binding sites are targets of T- and B-cell immunity",
pages = "107-90",
volume = "407",
doi = "10.1016/j.jim.2014.03.027"
}
Pavlović, M. D., Jandrlić, D.,& Mitić, N. S.. (2014). Epitope distribution in ordered and disordered protein regions. Part B - Ordered regions and disordered binding sites are targets of T- and B-cell immunity. in Journal of Immunological Methods
Elsevier, Amsterdam., 407, 90-107.
https://doi.org/10.1016/j.jim.2014.03.027
Pavlović MD, Jandrlić D, Mitić NS. Epitope distribution in ordered and disordered protein regions. Part B - Ordered regions and disordered binding sites are targets of T- and B-cell immunity. in Journal of Immunological Methods. 2014;407:90-107.
doi:10.1016/j.jim.2014.03.027 .
Pavlović, Mirjana D., Jandrlić, Davorka, Mitić, Nenad S., "Epitope distribution in ordered and disordered protein regions. Part B - Ordered regions and disordered binding sites are targets of T- and B-cell immunity" in Journal of Immunological Methods, 407 (2014):90-107,
https://doi.org/10.1016/j.jim.2014.03.027 . .
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T-cell epitope frequency in ordered and disordered protein regions

Mitić, Nenad; Pavlović, Mirjana; Jandrlić, Davorka

(2012)

TY  - CONF
AU  - Mitić, Nenad
AU  - Pavlović, Mirjana
AU  - Jandrlić, Davorka
PY  - 2012
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/6314
AB  - Frequently asked question in immunology is whether the immunodominance of T-cell epitopes is dependent to their localization in
the antigen 3D structure or epitope-intrinsic. Using epitope prediction
algorithms we have found that both HLA-I and HLA-II epitope frequencies were higher in ordered protein regions, for all analysed taxonomic
categories (archaea, bacteria, eukarya, and viridae) and that epitopes
appertaining to ordered protein regions were prevalently hydrophobic.
Epitope frequency in disordered protein regions of various lengths was
constant while in ordered regions had shown a rising trend with prolonging region length. The comparison between predicted and experimentally
evaluated epitopes of several tumor associated antigens of cancer/testis
antigen group, revealed that majority of epitopes presented by HLA-I
and HLA-II molecules were localized in ordered protein regions.
C3  - Book of abstracts, DBMI2012
T1  - T-cell epitope frequency in ordered and disordered protein regions
UR  - https://hdl.handle.net/21.15107/rcub_machinery_6314
ER  - 
@conference{
author = "Mitić, Nenad and Pavlović, Mirjana and Jandrlić, Davorka",
year = "2012",
abstract = "Frequently asked question in immunology is whether the immunodominance of T-cell epitopes is dependent to their localization in
the antigen 3D structure or epitope-intrinsic. Using epitope prediction
algorithms we have found that both HLA-I and HLA-II epitope frequencies were higher in ordered protein regions, for all analysed taxonomic
categories (archaea, bacteria, eukarya, and viridae) and that epitopes
appertaining to ordered protein regions were prevalently hydrophobic.
Epitope frequency in disordered protein regions of various lengths was
constant while in ordered regions had shown a rising trend with prolonging region length. The comparison between predicted and experimentally
evaluated epitopes of several tumor associated antigens of cancer/testis
antigen group, revealed that majority of epitopes presented by HLA-I
and HLA-II molecules were localized in ordered protein regions.",
journal = "Book of abstracts, DBMI2012",
title = "T-cell epitope frequency in ordered and disordered protein regions",
url = "https://hdl.handle.net/21.15107/rcub_machinery_6314"
}
Mitić, N., Pavlović, M.,& Jandrlić, D.. (2012). T-cell epitope frequency in ordered and disordered protein regions. in Book of abstracts, DBMI2012.
https://hdl.handle.net/21.15107/rcub_machinery_6314
Mitić N, Pavlović M, Jandrlić D. T-cell epitope frequency in ordered and disordered protein regions. in Book of abstracts, DBMI2012. 2012;.
https://hdl.handle.net/21.15107/rcub_machinery_6314 .
Mitić, Nenad, Pavlović, Mirjana, Jandrlić, Davorka, "T-cell epitope frequency in ordered and disordered protein regions" in Book of abstracts, DBMI2012 (2012),
https://hdl.handle.net/21.15107/rcub_machinery_6314 .